Question papers & theses

Artificial Intelligence (AI) has emerged as the defining technological force shaping India's digital economy in the mid-2020s, layering onto a decade of Digital Public Infrastructure (DPI) investment - Aadhaar, the Unified Payments Interface (UPI), and the Open Network for Digital Commerce (ONDC) - to transform how enterprises, governments, and citizens create and capture value. India has climbed to fifth position globally in overall digital economy performance and fourth in standalone AI capability, trailing only the United States, China, and Singapore, and now hosts the world's second-largest AI talent pool. This rapid ascent, however, is accompanied by an equally rapid escalation in AI-enabled cyber risk: automated phishing, deepfake-based fraud, voice-cloned social engineering, and machine-speed exploitation of software vulnerabilities are reshaping the national threat landscape faster than institutional and organizational defenses can adapt. This paper undertakes an integrated examination of these two parallel trends — economic opportunity and cybersecurity vulnerability — situating them within the broader geopolitical context of a "new world order" defined by AI sovereignty, compute nationalism, and competitive data governance regimes. Drawing on a descriptive, secondary-data methodology that synthesizes government advisories, industry reports, and recent (2025–2026) empirical studies, the paper identifies a structural gap between the pace of AI adoption and the maturity of India's cybersecurity and regulatory institutions. It concludes with a set of policy-oriented suggestions aimed at helping India convert its current scale advantage into durable, secure, and strategically autonomous digital leadership.

The rapid advancement of digital technologies has significantly transformed the tourism industry by reshaping the way destinations are promoted, accessed, and experienced. Digital tourism utilizes platforms such as social media, mobile applications, and online information systems to enhance destination visibility, improve tourist engagement, and support informed travel decision-making. This study examines the role of digital tourism in destination development and promotion with special reference to Tamil Nadu. The primary objective of the study is to analyze tourists’ usage of digital tourism platforms and their level of satisfaction with these services. The research also explores the factors influencing the effectiveness of digital tourism strategies in enhancing travel experiences. A quantitative research approach was adopted, and data were collected from a sample of 550 tourists using a structured questionnaire. Convenience sampling technique was used to select respondents who had experience using digital tourism services in Tamil Nadu. The collected data were analyzed using Percentage Analysis and Correlation Analysis. Percentage analysis was used to examine respondents’ usage patterns of digital tourism platforms, while correlation analysis was employed to determine the relationship between digital tourism usage and tourist satisfaction. The findings reveal that social media platforms are the most widely used digital tourism tools among respondents. The correlation analysis indicates a strong positive relationship between digital tourism usage and tourist satisfaction, suggesting that increased use of digital platforms leads to higher levels of satisfaction. The study also highlights that factors such as information quality, accessibility, and ease of use play a crucial role in shaping tourists’ digital experiences. The study concludes that digital tourism significantly enhances tourist satisfaction and plays an important role in destination promotion in Tamil Nadu. However, continuous improvement in digital infrastructure and content quality is necessary to maximize its effectiveness. The research emphasizes that strengthening digital tourism initiatives can contribute to improved destination competitiveness and sustainable tourism development in the region.

Sustainable transportation, environmental protection, fuel cost savings, consumer awareness, and E-bike adoption are increasingly important in today’s mobility landscape. In this context, the present study examines the level of awareness towards E-bikes among users in Pollachi Taluk. The study aims to analyze users’ awareness regarding E-bike features, battery performance, charging infrastructure, government incentives, and environmental benefits, along with identifying factors influencing purchase decisions. The research is based on both primary and secondary data. Primary data were collected from 300 working women policyholders in Pollachi Statistical tools such as Simple Percentage Analysis, Z-test, ANOVA, Ranking Test, Regression, and Correlation were used for analysis. The findings indicate that awareness levels significantly differ based on age, educational qualification, and annual income, while occupation, marital status, and type of family do not show significant influence. The study concludes that enhancing awareness programs, strengthening promotional strategies, and improving infrastructure facilities can further promote E-bike adoption in Pollachi Taluk.

This paper presents the design and implementation of a real-time AI voice assistant using ESP32 and cloudbased artificial intelligence. The system captures user voice input through an INMP441 I2S microphone and transmits the audio data to a Python-based server using WebSocket communication. The server processes the audio using Speech-to-Text (STT), generates intelligent responses using AI models, and converts the output into speech using Text-to-Speech (TTS). The system employs Voice Activity Detection (VAD) to identify speech segments and eliminate unnecessary processing of silence or noise, thereby improving efficiency. The final output is played through a Bluetooth speaker, enabling real-time interaction. The proposed system is cost-effective, scalable, and suitable for applications such as smart assistants, IoT automation, and accessibility tools. Experimental results demonstrate that the system achieves accurate speech recognition and response generation with an average response time of less than three seconds under normal conditions.

The growing demand for digital innovation has increased the adoption of cloud computing and Software as a Service (SaaS) in modern businesses. Organizations are moving away from traditional IT systems and adopting cloud-based approaches to improve flexibility, scalability, and efficiency. This shift not only changes technology usage but also influences business processes, decision-making, and value creation, making SaaS an important tool for achieving sustainable growth. The proposed work develops a simple theoretical framework that explains key aspects of SaaS adoption such as scalability, cost efficiency, accessibility, flexibility, and innovation. It shows how these factors are connected with core business functions like operations, customer service, and strategic decisions. The study also introduces a layered model, where SaaS acts as a base for improving processes, enabling digital integration, and supporting overall business development. This study provides a conceptual roadmap to help organizations understand how SaaS can support business growth. It also highlights common challenges like security issues, dependency on providers, and integration difficulties, along with general solutions. Overall, the work emphasizes that cloud-centric transformation is not just about technology, but about improving how businesses operate and create value in the digital world. This study emphasizes the importance of adopting a strategic and well-planned approach to cloud transformation. Organizations need to align their business goals with cloud capabilities to fully realize the benefits of SaaS. By focusing on continuous improvement, adaptability, and innovation, businesses can effectively utilize cloud technologies to remain competitive in a rapidly changing environment. This approach ultimately supports long-term sustainability and strengthens overall organizational performance.

India's foreign policy in the era of trade conflicts emphasizes strategic autonomy through hedging and balancing relations with major powers like the US, China, and Russia amid escalating tariffs and supply chain shifts. This approach allows India to navigate US-imposed tariffs (e.g., 50% on Indian goods in 2025) while maintaining economic ties with China and energy imports from Russia. India's foreign policy and strategic diplomacy in the era of trade conflicts reflect a pragmatic evolution from Nehruvian non-alignment to multialignment, prioritizing strategic autonomy amid US-China rivalry and escalating tariffs. Since 2018, global trade wars—intensified by US reciprocal tariffs under Trump's second term—have tested India's balancing act, with 50% duties on Indian exports in 2025 linked to Russian oil imports, threatening $200B bilateral trade while exposing supply chain vulnerabilities. India hedges by deepening US defense ties (e.g., Quad, iCET) for tech/security gains, yet resists full alignment to preserve China/Russia engagement. Post -Galwan 2020, app bans and FDI curbs countered China, but $100B+ trade persists, bolstered by 2025 SCO aviation restarts. Russian energy imports defy US sanctions, ensuring affordability for 1.4B citizens, while EU/Middle East diversification mitigates tariff shocks. Facing US 25-50% tariffs on textiles/jewelry/shrimp (2025-2026), India paused some defense deals but denied halts, emphasizing sovereignty.

The digital divide remains one of the most significant barriers to inclusive and sustainable development in contemporary India. While the country has made substantial progress in expanding digital infrastructure and promoting digital governance under initiatives such as Digital India, access to and effective use of digital technologies remain uneven across regions, genders, and socio-economic groups. This paper examines the digital divide in India through three interrelated dimensions: digital infrastructure, access to digital technologies, and digital literacy. Using a qualitative–quantitative approach based on secondary data from official sources such as the National Statistical Office (NSO), National Family Health Survey (NFHS), Telecom Regulatory Authority of India (TRAI), and policy documents of the Government of India, the study analyses year-wise trends, state-wise variations, and gender-based disparities in digital access and usage. The findings reveal persistent urban–rural, inter-state, and gender gaps despite rising overall internet penetration. The paper argues that bridging the digital divide requires an integrated policy approach that simultaneously addresses infrastructure gaps, affordability and access barriers, and digital literacy deficits. The study concludes with a set of policy recommendations aligned with ICSSR priorities, emphasizing inclusive infrastructure development, community-based digital literacy, and targeted interventions for marginalized groups.

Healthcare organizations across the globe are increasingly adopting digital technologies such as electronic records, connected medical devices, and telemedicine platforms. While these innovations improve efficiency and patient care, they also expose the sector to growing cyber risks. Cybersecurity in healthcare extends beyond data protection—it plays a vital role in maintaining patient safety and trust. This study examines the primary cybersecurity threats facing healthcare, their potential consequences, and modern defense strategies. It also highlights emerging trends and technologies shaping the future of healthcare security.

Gamification and AI have emerged as a transformative tool in modern education, significantly reshaping how students interact with learning content and how educators design instructional strategies. Gamification is defined as the application of game design principles in non-game contexts. It incorporates game-like elements such as points, badges, levels, leaderboards, rewards and mission-based tasks to foster motivation, curiosity and active participation among learners. These kinds of elements create a sense of achievement and competition that encourages students to engage more deeply with academic material. AI can analyse student performance in real time, identify learning gaps and adjust the difficulty or content accordingly. The integration of these technologies not only makes the learning more enjoyable and interactive but also ensures that the instructional delivery is aligned with the unique learning pace, preference and challenges of each student. When gamification is combined with AI-driven personalisation, the adaptive feedback and intelligent tutoring systems, and the gamification transcends the traditional classroom boundaries, by creating a dynamic and immersive learning environment. The AI algorithms can analyse the student behaviour, also predict learning trajectories and will tailor the gamified experiences to the needs of individuals, thereby ensuring inclusivity and equity in the field of education. The impact of gamification and AI on student engagement can be understood through multiple dimensions. First, gamification introduces intrinsic and extrinsic motivators that transform passive learning into an interactive journey where students perceive progress as achievement rather than obligation. However, challenges such as ethical concerns data privacy, and the risk of over-reliance on technology must be critically addressed to ensure responsible implementation. These abstract underscores the potential of gamification and AI to revolutionise student engagement, offering a roadmap for educators, researchers and policymakers to harness these innovations for inclusive and impactful learning.

The last-mile connectivity gap remains one of the most persistent technological challenges worldwide. While urban areas enjoy fast broadband and robust network coverage, rural and remote regions suffer from slow, unreliable, or unavailable internet access. Hardware limitations, infrastructure gaps, high costs, and complex terrains widen the digital divide. This document examines major barriers in last-mile connectivity with emphasis on hardware issues, infrastructure constraints, user limitations, and deployment challenges. It also highlights emerging technologies such as wireless mesh networks, 5G, satellite internet, fiber-to-the-home (FTTH), low-power IoT devices, and renewable-powered communication systems that provide novel solutions.

Artificial Intelligence (AI) tools have become an important part of higher education by supporting students in academic activities such as assignments, research, content writing, and exam preparation. This study aims to examine the attitudes and perceptions of students towards the ethical use of Artificial Intelligence tools in higher education, with special reference to UG Commerce students in Pollachi Taluk. The study is based on primary data collected from 300 respondents using a structured questionnaire. Percentage analysis, mean, standard deviation, and ranking techniques were used to analyse the data. The findings reveal that most respondents are aware of AI tools and use them regularly for academic purposes. ChatGPT emerged as the most frequently used AI tool. The study also indicates that respondents generally have a positive attitude towards AI tools while recognising the importance of ethical usage. Most respondents believe that AI should be used only as a learning aid and not as a substitute for independent work. The study concludes that AI tools offer significant benefits in higher education when used responsibly. Promoting ethical awareness and implementing clear institutional policies can help students use AI effectively while maintaining academic honesty and improving learning outcomes.

Artificial intelligence has moved from a peripheral experiment to a structural feature of human resource management. This chapter examines how AI is reshaping three interlocking pillars of the HR function: talent acquisition, employee engagement, and performance management. Drawing on recent industry research and scholarly literature, the chapter traces the shift from rule-based automation toward predictive and, increasingly, agentic systems capable of sourcing candidates, forecasting workforce needs, synthesising performance signals, and personalising the employee experience at scale. It also confronts the tension between efficiency gains and the ethical, legal, and human costs of algorithmic decision-making, including bias, opacity, surveillance, and the erosion of managerial judgment. The chapter closes with a discussion of governance frameworks and a forward-looking assessment of human-AI collaboration, arguing that the organizations most likely to benefit from AI in HRM are those that treat it as an augmentation of human judgment rather than a replacement for it.

This study examines the level of financial inclusion and insurance awareness among beneficiaries of Pradhan Mantri Jan Suraksha Schemes in Pollachi Taluk. It focuses on understanding how awareness influences beneficiary satisfaction and evaluates the role of demographic factors such as income and education. Data were collected from 411 valid respondents using a structured questionnaire, and statistical tools such as descriptive analysis, reliability testing, correlation, and regression analysis were applied to derive meaningful insights. The findings reveal that awareness plays a significant role in determining satisfaction, while income and education have limited influence. Furthermore, the study emphasizes that improving awareness through effective communication strategies, simplified procedures, and enhanced accessibility can significantly increase participation and satisfaction among beneficiaries. Strengthening these aspects will not only improve the effectiveness of government insurance schemes but also contribute to achieving broader goals of financial inclusion and social security.

The National Education Policy (NEP) 2020 emphasizes integrating Artificial Intelligence (AI) across all education levels to foster digital literacy, critical thinking, and future skills, viewing AI as crucial for personalized learning, efficient management, and teacher support through tools like adaptive platforms, chatbots, and data analytics, aiming for a learner-centric, inclusive, and future-ready system, with initiatives like the "AI for All" course promoting basic understanding among citizens. AI supports research, innovation, and the creation of innovative instructional technologies at the tertiary level. Furthermore, examined is AI's contribution to the National Educational Technology Forum (NETF), highlighting its significance in advancing legislative ideas along with the goals of NEP 2020. The National Education Policy (NEP) 2020 is a foundational shift in India's education system, aiming for holistic, flexible, and skill-based learning from school to higher education. It prioritizes foundational literacy, critical thinking, mother-tongue instruction, and multidisciplinary curriculum, aiming to foster innovation and equity, preparing students for a rapidly changing global landscape.

This paper explores the profound implications of Adi Shankara's Advaita Vedanta, particularly in its interpretation of the Bhagavad Gita, for fostering ethical practices within society. Shankara's non-dualistic philosophy, emphasizing the ultimate oneness of the individual soul (Atman) with the Absolute Reality (Brahman), provides a unique metaphysical foundation for universal ethics. By delving into key concepts from the Bhagavad Gita such as Karma Yoga, Jnana Yoga, Bhakti Yoga, and the nature of Dharma, as expounded through Shankara's commentary, this article demonstrates how his teachings transcend mere ritualism and offer a robust framework for moral conduct, social harmony, and selfless action. The paper argues that an understanding of Advaita, as elucidated by Shankara through the Gita, cultivates virtues like compassion, detachment, self-control, and a sense of interconnectedness, which are crucial for addressing contemporary ethical challenges and promoting a more just and harmonious society.

Agricultural entrepreneurship has emerged as a key driver of sustainable rural development, economic empowerment, and social inclusion. This chapter examines the roles of innovation, inclusion, and partnership in fostering agri-entrepreneurship ecosystems that improve productivity, market access, and environmental sustainability. It highlights women-led enterprises, digital technologies, skill development programs, and public-private collaborations as critical elements for inclusive growth. Drawing on case studies from India and global practices, this chapter illustrates successful strategies in agri-startups, green business models, and technologydriven agriculture. Policy recommendations and future directions are provided to strengthen rural livelihoods, enhance resilience, and support sustainable, inclusive growth in agriculture-based enterprises.

A newer and more sustainable framework for creating economic opportunities offshore is called Blue Economy while providing environmental protection and ensuring social inclusion. Within this broader framework of sustainability is maritime logistics and port (supply-chain) operations; both are critical elements for facilitating Blue Trade. However, traditional systems used by ports are plagued by inefficiencies, congestion, disproportionate costs, as well as unintentional negative environmental externalities. The development of smart ports characterized by the use of data analytics, digital technologies, and intelligent systems has transformed the way maritime logistics operates (making them more operationally efficient, more transparent and more sustainable). This research paper will analyze the role of smart ports in adding value to Blue Trade through a data-centered research approach. Using a conceptual and analytical research design, the research will look at how integrating data combines with digital infrastructures and the application of analytics allows for improved logistics performance, reduced environmental impacts associated with naval transportation, and support for sustainable trade practices in the future. The paper also will address potential barriers and challenges to smart port development and discuss potential future development pathways.

The Pradhan Mantri Jan Suraksha Schemes were introduced by the Government of India to promote financial security among economically weaker sections through affordable insurance and pension benefits. This study focuses on evaluating the level of satisfaction of beneficiaries towards these schemes in Pollachi Taluk, along with their awareness and participation. The study is based on primary data collected from 411 respondents using a structured questionnaire, supported by secondary data from relevant sources. Descriptive statistical tools such as percentage analysis were used to examine demographic characteristics and awareness levels. In addition, One-Way ANOVA was applied to identify significant differences in satisfaction levels among various socio-economic groups. The findings indicate that while beneficiaries generally show a positive level of satisfaction, variations exist based on factors such as accessibility, awareness, and service delivery. The study suggests improving awareness programs and service efficiency to enhance the overall effectiveness of the schemes.

TheimplementationoftheGoodsandServicesTax(GST)hasprofoundlytransformed the operationsofonlinemarketplacesinIndia.Thesedigitalplatformsfacilitateinteractions betweenbuyersandsellersfortheexchangeofgoodsandservicesovertheinternet,withnotable examplesincludingAmazon,Flipkart,andMeesho.TheintroductionofGSTestablisheda uniform indirecttaxsystemthatreplacedamyriadoftaxes,includingVAT,servicetax,and exciseduty,therebystreamliningthetaxationprocessfore-commerceenterprises.TheGST frameworkmandatesregistrationfore-commercesellersandincorporatestheTaxCollectedat Source(TCS)mechanismfore-commerceoperators.Theseinitiativesenhancetaxcompliance, promote transparencyinonlinetransactions,andfacilitateimprovedoversightofdigitalbusiness activities.Insummary,GSThassignificantlycontributedtotheregulationofonline marketplaceswhilefosteringthegrowthofIndia'sdigitaleconomy.

Artificial Intelligence (AI) has rapidly transformed the education sector by providing innovative tools that enhance learning, research, and academic productivity. Among undergraduate students, AI tools such as chatbots, writing assistants, research platforms, and coding aids are increasingly used to support studies, improve efficiency, and simplify complex academic tasks. This study examines the usage patterns and perceptions of AI tools among 150 undergraduate students in Pollachi. Data were collected using structured questionnaires and analyzed through descriptive statistics, Z-tests, ANOVA and Friedman ranking tests. The findings reveal that students prefer AI tools like ChatGPT, Grammarly, and QuillBot for their ease of use, user-friendliness, and ability to provide quick access to information. Gender and course of study were found to have no significant effect on usage patterns or preferences. The study highlights the need for awareness programs, ethical usage, and integration of AI tools into academic practices to maximize benefits.

Artificial Intelligence is changing the way companies organize themselves and manage their staffing. Employee engagement is a crucial component to short- and long-term sustainable growth in today's rapidly changing, innovative, and agile marketing environments. This chapter outlines the ways AI is utilized in relation to employee engagement strategies in marketing organizations. The following examples of AI applications have been included: predictive analytics, sentiment analysis, intelligent automation, chatbots and personalized learning platforms. AI technology can enhance employee experience, provide real-time feedback, develop skills, and improve internal communications. By implementing AI into the HR and marketing systems, an organisation can make informed data-driven decisions, create personalised engagement programs for employees, and provide a transparent workplace. This chapter illustrates how employee engagement strategies utilizing AI can have a positive impact on employee motivation, productivity, creativity and retention — all of which can improve the overall marketing performance of an organisation. In addition, issues surrounding ethical considerations and human–AI collaboration are discussed. Based on the literature and empirical findings, the chapter proposes a conceptual framework linking AI adoption, employee engagement and sustainable marketing outputs, and demonstrates that AI-enhanced employee engagement strategies can lead to long-term organisational success.

The rapid rise of urban populations presents unprecedented challenges for city planners in optimizing mobility, resource allocation, environmental sustainability, and quality of life. Artificial Intelligence (AI) has emerged as a transformative force in addressing these challenges, enabling smart cities that are efficient, responsive, and sustainable. This paper reviews state-of-the-art AI techniques applied to urban infrastructure, highlights real-world implementations, identifies barriers to adoption, and proposes a roadmap for future research. The findings suggest that AI can significantly enhance urban sustainability, resilience, and inclusivity, provided that policy, ethics, and data governance frameworks evolve in tandem.

In India, financial inclusion has long been a challenge, particularly for marginalized communities that have been excluded from formal banking systems. Pradhan Mantri Jan Suraksha Schemes (PMJSS), launched by the Government of India, aim to provide accessible and affordable financial services to these underserved populations. This study explores how these schemes are transforming financial exclusion into digital inclusion, with a particular focus on marginalized and economically vulnerable communities. Through these schemes, India is witnessing a significant shift toward digital financial services—empowering individuals with life insurance, accident coverage, and pension plans. The study examines the impact of these schemes on beneficiaries’ financial security, access to digital tools, and overall socio-economic improvement. By evaluating the role of these initiatives in promoting digital financial inclusion, this study offers insights into the challenges and opportunities associated with expanding digital financial services to the most vulnerable sections of society.

TheimplementationoftheGoodsandServicesTax(GST)hasprofoundlytransformed the operationsofonlinemarketplacesinIndia.Thesedigitalplatformsfacilitateinteractions betweenbuyersandsellersfortheexchangeofgoodsandservicesovertheinternet,withnotable examplesincludingAmazon,Flipkart,andMeesho.TheintroductionofGSTestablisheda uniform indirecttaxsystemthatreplacedamyriadoftaxes,includingVAT,servicetax,and exciseduty,therebystreamliningthetaxationprocessfore-commerceenterprises.TheGST frameworkmandatesregistrationfore-commercesellersandincorporatestheTaxCollectedat Source(TCS)mechanismfore-commerceoperators.Theseinitiativesenhancetaxcompliance, promote transparencyinonlinetransactions,andfacilitateimprovedoversightofdigitalbusiness activities.Insummary,GSThassignificantlycontributedtotheregulationofonline marketplaceswhilefosteringthegrowthofIndia'sdigitaleconomy.

This study examines how fintech innovation shapes financial inclusion among gig workers in Coimbatore District, an expanding urban labour market characterized by platform-based work, irregular earnings, and limited access to financial services. Gig workers engaged in ride-hailing, food delivery, e-commerce logistics, home services, freelance digital work increasingly rely on mobile wallets, Unified Payments Interface transactions, digital bank accounts, microcredit applications, insur tech products, and platform-linked payment systems. The study adopts a mixed-method empirical design, combining a survey of gig workers with interviews involving workers, platform representatives, fintech providers, and financial intermediaries. It investigates the relationship between fintech usage and key inclusion outcomes: account ownership and active usage, payment convenience, savings behaviour, access to short-term credit, insurance coverage, financial resilience, and perceived control over finances. The analysis also assesses the influence of digital literacy, income volatility, gender, education, migration status, type of gig work, smartphone access, trust, data-privacy concerns, and awareness of consumer protection mechanisms. The research is expected to show that fintech reduces transaction costs and enables faster payments, wider market participation, and easier access to basic financial products. The study therefore conceptualizes financial inclusion not merely as access to an account or application, but as the capacity to use affordable, appropriate, transparent, and safe financial services over time. By offering district-specific evidence, the study contributes to scholarship on platform labour, inclusive fintech, and urban economic development. Its findings can inform policymakers, banks, fintech firms, and platform companies in designing worker-centred products, targeted digital-literacy programmes, portable social-security mechanisms, and stronger consumer-protection frameworks for an equitable gig economy.

The rapid advancement of Generative Artificial Intelligence (GenAI) has significantly transformed marketing and customer engagement practices across businesses worldwide. In the Indian context, increasing digitalization, expanding e-commerce, and supportive government initiatives have accelerated the adoption of AI-driven technologies. This study examines the extent and patterns of adoption of Generative AI tools among Indian businesses, with specific focus on marketing and customer engagement activities. Using a descriptive and analytical research design, primary data were collected from 150 respondents representing businesses in Coimbatore District through a structured questionnaire based on a five-point Likert scale. The study analyzes key determinants influencing adoption, the types of GenAI tools utilized, and the perceived impact of these tools on marketing performance and customer experience. Descriptive statistics, multiple dichotomy analysis, and correlation analysis were employed to interpret the data. The findings reveal high levels of awareness, digital readiness, and training initiatives, indicating strong organizational preparedness for GenAI adoption. Businesses predominantly use GenAI for customer data analysis and content creation, while advanced applications such as personalized marketing and product recommendations remain at an early stage. The correlation analysis confirms a strong and positive relationship between adoption patterns, tool usage, and the impact of GenAI. The study concludes that while Generative AI offers substantial potential to enhance customer engagement and marketing effectiveness, broader adoption requires supportive policies, skill development, ethical governance and strategic integration.

From intelligent chatbots and voice assistants to personalized product recommendations and fraud detection, AI enables e-commerce platforms to deliver seamless and efficient shopping experiences. The present study aimed to explore the customers’ attitude towards AI enabled virtual assistants used in e-commerce portals. A sample consisting of 110 respondents was drawn from the population in Coimbatore district of Tamil Nadu, India for the study. The convenient sampling was devised. The research reveals a robust demographic and functional profile of Virtual Assistant (VA) users, primarily characterized by a young, educated, and rural-based male majority whose engagement is driven by a strong positive correlation between technological familiarity and overall satisfaction. With 85.5% of respondents being graduates and 50% aged below 20, the study identifies a "tech-optimistic" user base that highly values VA Appearance (Mean: 4.16) and Information Quality (Mean: 4.03), leading to a dominant 5-star experience rating (33.6%). Future research should expand beyond the current student-centric demographic to include a more diverse range of age groups and professional backgrounds to determine if these positive attitudes remain consistent across different life stages. There is also a significant opportunity to conduct longitudinal studies to track how the evolution of Generative AI and natural language processing (NLP) reduces the current "vagueness".

Startups increasingly rely on tax consultants to navigate complex fiscal landscapes amid rapid growth and regulatory changes. These professionals provide specialized guidance that enhances compliance, optimizes financial efficiency, and supports scalable expansion. Their growing role reflects the unique challenges startups face, from securing funding to claiming incentives.Startups often grapple with intricate tax codes, limited resources, and evolving laws that can hinder operations. Tax consultants address these by ensuring accurate filings, minimizing liabilities, and avoiding penalties during early stages when cash flow is critical. This expertise allows founders to prioritize innovation over administrative burdens. Tax consultants offer tailored services like R&D tax credit claims, audit preparation, and strategic planning for international expansion. They identify deductions such as small business incentives, improving cash flow for reinvestment in growth initiatives. Firms like KPMG and BDO exemplify specialized support for tech startups, blending compliance with proactive optimization.

Blockchain technology has emerged as a groundbreaking innovation in cybersecurity, offering decentralized, transparent, and tamper-resistant mechanisms to safeguard critical data and transactions across a wide range of application domains. This study presents a comprehensive review of the existing literature to explore how blockchain is being leveraged to enhance cybersecurity measures in diverse sectors including defense, healthcare, industrial systems, smart cities, energy infrastructure, and communication networks. By surveying state-of-the-art applications, this paper highlights blockchain’s significant role in identity management, secure data sharing, intrusion detection, and mitigation of cyber threats such as distributed denial-ofservice (DDoS) attacks. Additionally, the study discusses key challenges hindering the widespread adoption of blockchain in cybersecurity and proposes various solution approaches to overcome these barriers. Finally, it outlines promising future research directions aimed at fully harnessing blockchain’s potential to strengthen the security and resilience of modern networked systems.

Agricultural credit is considered as one of the most basic inputs for conducting all agricultural development programmes. In India, there is an immense need for proper agricultural credit as Indian farmers are very poor. From the very beginning, the prime source of agricultural credit in India was moneylenders. The main objective of the study is to identify the impact of covid, to find out about awareness and preference of consumers for agricultural credit, to identify the beneficiaries of government scheme and to identify the problems faced by farmers to avail credit for agriculture. Convenience sampling method has been adopted to determine the sample size. A total of 120 farmers are taken as sample of the study. The study makes use of statistical techniques such as simple percentage and chi-square. The finding of the study is to the government should focus on and to support the farmers by giving more credits with some subsidies and low interest rate.

The rapid expansion of digital finance has transformed access to financial services worldwide. However, significant gender disparities persist in the adoption and usage of digital financial tools. Women, especially in developing countries, face barriers such as limited digital literacy, social cultural constraints, lack of access to technology, and financial exclusion. Addressing the gender gap in digital finance is essential for achieving inclusive economic growth, poverty reduction, and women’s empowerment. This paper examines the causes of the gender gap, highlights the objectives and roles of stakeholders in bridging this divide, and analysis the advantages and disadvantages of digital financial inclusion for women. In developing economies, digital finance has become a key driver of financial inclusion, yet women remain disproportionately excluded from its benefits. The gender gap in digital finance reflects broader inequalities in education, income, access to technology, and social norms. In the Indian context, despite initiatives promoting digital payments and financial inclusion, women’s participation remains limited.

The rapid advancement of digital technologies has significantly transformed the tourism industry by reshaping the way destinations are promoted, accessed, and experienced. Digital tourism utilizes platforms such as social media, mobile applications, and online information systems to enhance destination visibility, improve tourist engagement, and support informed travel decision-making. This study examines the role of digital tourism in destination development and promotion with special reference to Tamil Nadu. The primary objective of the study is to analyze tourists’ usage of digital tourism platforms and their level of satisfaction with these services. The research also explores the factors influencing the effectiveness of digital tourism strategies in enhancing travel experiences. A quantitative research approach was adopted, and data were collected from a sample of 550 tourists using a structured questionnaire. Convenience sampling technique was used to select respondents who had experience using digital tourism services in Tamil Nadu. The collected data were analyzed using Percentage Analysis and Correlation Analysis. Percentage analysis was used to examine respondents’ usage patterns of digital tourism platforms, while correlation analysis was employed to determine the relationship between digital tourism usage and tourist satisfaction. The findings reveal that social media platforms are the most widely used digital tourism tools among respondents. The correlation analysis indicates a strong positive relationship between digital tourism usage and tourist satisfaction, suggesting that increased use of digital platforms leads to higher levels of satisfaction. The study also highlights that factors such as information quality, accessibility, and ease of use play a crucial role in shaping tourists’ digital experiences. The study concludes that digital tourism significantly enhances tourist satisfaction and plays an important role in destination promotion in Tamil Nadu. However, continuous improvement in digital infrastructure and content quality is necessary to maximize its effectiveness. The research emphasizes that strengthening digital tourism initiatives can contribute to improved destination competitiveness and sustainable tourism development in the region.

Artificial Intelligence (AI) has emerged as the defining technological force shaping India's digital economy in the mid-2020s, layering onto a decade of Digital Public Infrastructure (DPI) investment - Aadhaar, the Unified Payments Interface (UPI), and the Open Network for Digital Commerce (ONDC) - to transform how enterprises, governments, and citizens create and capture value. India has climbed to fifth position globally in overall digital economy performance and fourth in standalone AI capability, trailing only the United States, China, and Singapore, and now hosts the world's second-largest AI talent pool. This rapid ascent, however, is accompanied by an equally rapid escalation in AI-enabled cyber risk: automated phishing, deepfake-based fraud, voice-cloned social engineering, and machine-speed exploitation of software vulnerabilities are reshaping the national threat landscape faster than institutional and organizational defenses can adapt. This paper undertakes an integrated examination of these two parallel trends — economic opportunity and cybersecurity vulnerability — situating them within the broader geopolitical context of a "new world order" defined by AI sovereignty, compute nationalism, and competitive data governance regimes. Drawing on a descriptive, secondary-data methodology that synthesizes government advisories, industry reports, and recent (2025–2026) empirical studies, the paper identifies a structural gap between the pace of AI adoption and the maturity of India's cybersecurity and regulatory institutions. It concludes with a set of policy-oriented suggestions aimed at helping India convert its current scale advantage into durable, secure, and strategically autonomous digital leadership.

The Pradhan Mantri Jan Suraksha Schemes were introduced by the Government of India to promote financial security and social protection among economically vulnerable sections of society. These schemes include Pradhan Mantri Suraksha Bima Yojana (PMSBY), Pradhan Mantri Jeevan Jyoti Bima Yojana (PMJJBY), and Atal Pension Yojana (APY), which aim to provide affordable insurance and pension benefits. The present study focuses on analyzing the socio-economic profile of beneficiaries in Pollachi Taluk and examining their level of awareness, participation, and access to these schemes. Using primary data collected from 411 respondents through structured questionnaires, the study employs descriptive statistical analysis to examine demographic characteristics and awareness distribution. The findings reveal that beneficiaries mainly belong to rural areas, nuclear families, and lower income groups, with medium awareness levels about the schemes. The study highlights the importance of awareness programs and institutional support in improving participation and enhancing financial inclusion.

The integration of Artificial Intelligence(AI) into education has become a defining feature of 21st-century pedagogical transformation. AI technologies such as intelligent tutoring systems, adaptive learning platforms, and predictive analytics are reshaping teaching and learning into more personalized, data-driven processes. In the Indian context, the National Education Policy (NEP) 2020 envisions leveraging technology, including AI, to foster innovation, inclusivity, and lifelong learning. This qualitative study explores the intersection between AI and NEP 2020, examining their synergy, implementation challenges, and policy implications. Drawing upon literature, policy documents, and thematic analysis, the study identifies key themes personalized learning, teacher support, inclusivity, and ethical challenges and proposes actionable recommendations for policymakers and educators. The findings highlight that while AI has immense potential to transform education, its success depends on teacher preparedness, infrastructural readiness, and ethical governance.

AI is also playing a crucial role in enhancing accessibility in education. Students with disabilities, language barriers, or learning difficulties can benefit from AI-powered tools designed to provide support tailored to their specific needs. Speech recognition, text-to-speech, and real-time translation applications help students overcome communication barriers, while AI-powered tutors and chatbots offer additional guidance outside the classroom. This level of accessibility ensures that education becomes more inclusive, allowing students from diverse backgrounds and abilities to learn effectively. AI is streamlining administrative tasks, enabling educators to focus more on teaching rather than bureaucratic duties. Automated grading systems, attendance tracking, and scheduling software help reduce the workload for teachers and administrators. AI can assess assignments, quizzes, and essays with high accuracy, providing students with immediate feedback and allowing teachers to dedicate more time to instruction and student engagement. Additionally, AI-driven data analytics can identify patterns in student performance, helping educators intervene early and offer targeted support to those who need it most.

Blockchain technology brought rapid and revolutionary changes in the way how businesses accumulate capital, especially through Initial Coin Offerings (ICOs). The study examines the dynamics of blockchain-basedbased crowdfunding and evaluates its effectiveness compared to traditional funding mechanisms such as Venture Capital, Angel Investment and Bank Loans. By taking advantage of decentralized systems, ICOs provide global access to capital, reduce the cost of funding, and perform fast execution. However, they face challenges related to regulatory uncertainty, security weaknesses and investor protection. The paper underlines the structure and functioning of the ICO - including the use of tokens, smart contracts and whitepapers - and contrary them with traditional methods in terms of access, speed, transparency, compliance and investor engagement. The study of the real -world case exposes both successful and fraud ICOs, providing valuable lessons for stakeholders. The regulatory landscape is investigated in major courts like the United States, Switzerland, Singapore and India with a comparative approach. Emerging models are also discussed in Crowdfunding in Safety Token Offerings (STOS), Early Exchange Offerings (IEOS), and DeFi (Decentralized Finance), NFTs, and DAOS. The study concludes that while ICOS present important opportunities, a hybrid model integrating the trust mechanism of traditional finance with blockchain innovation may define the future of entrepreneurial funds.

Rural women in India continue to face interlocking constraints that restrict their participation in economic activity, decision-making, asset ownership, and mobility. Although policy interventions over the past two decades have attempted to address gendered poverty, structural inequalities persist, particularly among low-income households dependent on informal and precarious work. In this context, the Government of Tamil Nadu introduced the Kalaignar Magalir UrimaiThittam (KMUT) in 2023 as a direct benefit transfer scheme providing monthly rights-based income support to eligible women heads of households. This paper analyses the socio-economic implications of KMUT on rural women’s livelihoods, financial autonomy, consumption stability, and bargaining power within households. It evaluates how a feminist lens on welfare, social protection, and cash transfer policies helps understand the transformative potential of the scheme. Based on secondary research, policy analysis, and socio-economic theory, the paper argues that KMUT—by combining unconditional income support with digital payment systems, targeted inclusion, and legal recognition of women as household heads—strengthens rural women’s economic agency and contributes to inclusive development. However, challenges related to digital literacy, last-mile delivery, socio-political gatekeeping, and long-term fiscal sustainability require consistent policy refinement. The study concludes that KMUT offers an innovative framework for gender-responsive welfare and can serve as a model to improve the socio-economic resilience of rural women across India.

This study examines the level of financial inclusion and insurance awareness among beneficiaries of Pradhan Mantri Jan Suraksha Schemes in Pollachi Taluk. It focuses on understanding how awareness influences beneficiary satisfaction and evaluates the role of demographic factors such as income and education. Data were collected from 411 valid respondents using a structured questionnaire, and statistical tools such as descriptive analysis, reliability testing, correlation, and regression analysis were applied to derive meaningful insights. The findings reveal that awareness plays a significant role in determining satisfaction, while income and education have limited influence. Furthermore, the study emphasizes that improving awareness through effective communication strategies, simplified procedures, and enhanced accessibility can significantly increase participation and satisfaction among beneficiaries. Strengthening these aspects will not only improve the effectiveness of government insurance schemes but also contribute to achieving broader goals of financial inclusion and social security.

The concept of green and energy-efficient computing has become an essential strategy for tackling the environmental and economic issues that arise from the rapid expansion of information technology. The growing reliance on computers, data centers, and digital devices has resulted in increased energy usage and considerable carbon emissions. Green computing is centered on the design, production, utilization, and disposal of computing devices in a manner that is environmentally sustainable, whereas energy-efficient computing focuses on minimizing power consumption without sacrificing performance. This research underscores the significance of embracing eco-friendly technologies, energy-saving methods, and sustainable IT practices. Additionally, it explores the challenges and opportunities linked to the implementation of green computing solutions. The integration of such practices not only lowers operational expenses but also aids in environmental preservation and promotes sustainable development.

Agriculture is the most substantial source of income for both central and state governments. Almost half of the population of India indulged in agriculture. The agriculture sector holds an important place in the Indian economy. Pradhan Mantri Fasal Bima Yojana (PMFBY) aims for supporting sustainable production in agriculture sector by way of providing compensation to farmers suffering crop loss/damage arising out of unforeseen events, to stabilize the income of farmers to ensure their continuance in farming, to encourage farmers to adopt innovative and modern agricultural practices. The Government through this initiative aims to empower the agriculture to grow through innovation and design. This project is an attempt to find out the impact of Pradhan Mantri Fasal Bima Yojana(PMFBY)scheme among farmers in Pollachi Taluk,Coimbatore District, Tamilnadu. Data has been collected both Primary and Secondary method. Primary data has been collected from 440 farmers through issuing well structured Questionnaire or interview method (no formal education farmers). The responses were selected from two different classes of farmers like landlord and Tenant through convenient random sampling method and collected data analyzed through various statistical tools used like Simple Percentage, Chi-square analysis and ANOVA is to be used for analyzing the data.

India is witnessing significant shifts in family structures due to urbanization, migration, economic transformation, and cultural changes. Traditional joint families are giving way to nuclear and fragmented households, resulting in heightened social risks such as income insecurity, health vulnerabilities, accidental disability, and inadequate old-age support. The Pradhan Mantri Jan Suraksha Schemes (PMJS) including the Pradhan Mantri Suraksha Bima Yojana (PMSBY), Pradhan Mantri Jeevan Jyoti Bima Yojana (PMJJBY), and Atal Pension Yojana (APY)—are designed to mitigate these risks by providing affordable insurance and pension coverage, especially for economically vulnerable populations. This seminar paper examines rural–urban family transitions, the social risks associated with these changes, and the role of Jan Suraksha Schemes in promoting social protection. It also emphasizes the importance of awareness, financial literacy, and education in ensuring effective utilization of these schemes.

AI-enabled personalization is transforming education by catering to diverse learner needs and fostering inclusive and lifelong learning. Using adaptive learning systems, intelligent tutoring, and learning analytics, AI customizes content, pace, and assessment to enhance learner engagement and outcomes. It supports equitable access to education and continuous skill development across different age groups. However, ethical challenges such as data privacy, algorithmic bias, and the digital divide must be addressed for responsible implementation.

The rapid adoption of Unified Payments Interface (UPI) systems in India has led to a significant rise in digital financial transactions, accompanied by an increase in fraudulent activities. This research proposes an AI-based fraud detection framework using the XGBoost machine learning model to identify fraudulent UPI transactions effectively. Transactional features such as amount, frequency time patterns, and device-related attributes are analyzed to capture abnormal behavior. XGBoost is selected for its ability to handle imbalanced datasets, non-linear relationships, and high-dimensional data. Experimental results demonstrate improved detection accuracy, recall, and ROC-AUC compared to traditional models, highlighting the suitability of XGBoost for real-time UPI fraud detection systems.

The National Education Policy (NEP) 2020 emphasizes learner-centric pedagogy, competency-based education, and continuous formative assessment. Traditional assessment systems in India often fail to address learner diversity and inclusivity. Artificial Intelligence (AI)-based adaptive assessment systems offer a promising solution by enabling personalized, continuous, and data-driven evaluation. This study examines the role of AIbased adaptive assessment in supporting NEP 2020 learning reforms. Using a descriptive and analytical research methodology, the paper analyzes existing literature, policy documents, and secondary data to understand the effectiveness of AI-driven adaptive assessment. The findings indicate that AI-based assessment enhances personalized learning, reduces examination stress, supports inclusive education, and aligns closely with NEP 2020 goals. However, challenges related to digital access, ethical concerns, and teacher readiness remain significant. The study concludes that AI-based adaptive assessment can significantly transform educational evaluation when implemented responsibly and equitably.

India’s digital payment ecosystem has undergone a profound transformation with the emergence of the Central Bank Digital Currency (CBDC) or the Digital Rupee (e₹), alongside platforms such as UPI and mobile wallets. This shift has enhanced transactional speed, accessibility, and financial inclusion. However, the rapid digitalization of financial services has simultaneously increased risks related to fraud, data misuse, privacy breaches, technological failures, and user vulnerability. Ensuring robust consumer protection is therefore central to maintaining trust and facilitating the sustainable adoption of digital currencies. This paper examines the consumer protection landscape in India, focusing on regulatory instruments such as the Digital Personal Data Protection Act (2023), RBI guidelines, cybersecurity protocols, and the RBI Ombudsman Scheme. Key challenges including fragmented grievance mechanisms, low public awareness, privacy concerns, and insufficient safeguards for lowvalue users are highlighted. Drawing from global best practices and India’s evolving CBDC experience; the study proposes a strengthened consumer protection framework emphasizing transparency, cyber resilience, streamlined grievance redressal, and enhanced digital literacy. The paper concludes that a user-centric approach is essential for ensuring safe, inclusive, and sustainable digital currency adoption in India.

TheimplementationoftheGoodsandServicesTax(GST)hasprofoundlytransformed the operationsofonlinemarketplacesinIndia.Thesedigitalplatformsfacilitateinteractions betweenbuyersandsellersfortheexchangeofgoodsandservicesovertheinternet,withnotable examplesincludingAmazon,Flipkart,andMeesho.TheintroductionofGSTestablisheda uniform indirecttaxsystemthatreplacedamyriadoftaxes,includingVAT,servicetax,and exciseduty,therebystreamliningthetaxationprocessfore-commerceenterprises.TheGST frameworkmandatesregistrationfore-commercesellersandincorporatestheTaxCollectedat Source(TCS)mechanismfore-commerceoperators.Theseinitiativesenhancetaxcompliance, promote transparencyinonlinetransactions,andfacilitateimprovedoversightofdigitalbusiness activities.Insummary,GSThassignificantlycontributedtotheregulationofonline marketplaceswhilefosteringthegrowthofIndia'sdigitaleconomy.

The rapid advancement of digital technologies has fundamentally transformed the competitive landscape of global markets, enabling firms to achieve unprecedented levels of market dominance through innovation, data-driven decision-making, and platform-based business models. Digital market dominance is characterized by the ability of firms to leverage network effects, artificial intelligence, big data analytics, cloud computing, and digital ecosystems to establish sustainable competitive advantages. Unlike traditional forms of market leadership, digital dominance is increasingly driven by intangible assets such as user data, technological capabilities, and ecosystem integration. This theoretical study examines the emerging trends contributing to digital market dominance and explores their implications for businesses, consumers, and policymakers. The study further discusses contemporary challenges such as regulatory scrutiny, data privacy concerns, algorithmic bias, cybersecurity risks, and increasing market concentration. It argues that while digital market dominance promotes innovation, operational efficiency, and customer value creation, it also necessitates responsible governance and fair competition. The paper concludes that sustainable digital leadership depends on balancing technological advancement with ethical business practices, transparent data governance, and adaptive regulatory frameworks. The study contributes to the growing body of literature by integrating multiple theoretical perspectives into a comprehensive framework for understanding digital market dominance in the evolving digital economy.

The rapid increase in urban populations and the busy lifestyles of modern residents have significantly hindered the ability to maintain traditional home gardens, often leading to plant neglect and resource wastage. This study proposes an IoT-based approach for the autonomous monitoring and management of garden ecosystems using real-time environmental data. By deploying an ESP8266 NodeMCU-based system, the project estimates irrigation needs through the continuous acquisition of soil moisture, temperature, and humidity parameters. While traditional gardening relies on flawed manual observation, the proposed system utilizes a threshold-based control logic to trigger a 5V relay and water pump with high precision, ensuring optimal soil conditions without human intervention. The integration of the ThingSpeak IoT Cloud platform allows for the seamless synchronization and visualization of sequential sensor data, enabling remote monitoring from any geographical location. This automated framework not only ensures plant longevity but also promotes sustainable water management by eliminating unnecessary irrigation, making it a scalable solution for modern smart agriculture.

Millets offer numerous advantages to both consumers and farmers, while also benefiting the environment. As more individuals become aware of their nutritional benefits, millets are gaining popularity among health-conscious consumers. These grains are rich in dietary fiber, vitamins, minerals, and gluten-free proteins. They possess less glycaemic indices, bringing them as a good option for the people having celiac disease or gluten allergic attitude. The present study focuses on customers' preference for millet food products, specifically in Coimbatore district. The main objectives were to investigate customer preferences for millet food products and analyze the factors that influence these preferences. A questionnaire was designed specifically for this study to achieve these objectives. The study included a sample size of 160 respondents from Coimbatore district, selected through convenient sampling. The results revealed that 31.5% of the respondents occasionally purchase millet food products. The majority (54%) stated that they choose millet food products for their health benefits. There is no association between age of the respondents and preferences of millet products. An association between respondents’ annual income and factors impacting the preferences. This study provides a foundation for further research in related areas.

Fintech innovations have revolutionized financial inclusion by extending services to the world's 1.4 billion unbanked adults, leveraging mobile money, digital wallets, and AI-driven lending. As of 2025, Global Findex data shows 80% of adults worldwide hold accounts, up from 51% in 2011, with fintech driving gains in sub-Saharan Africa (mobile money accounts surging to 7.4 million) and among women and rural populations. Key approaches include regulatory sandboxes (targeting 2026 launches), interoperable payment systems, and low-cost infrastructure to overcome literacy and connectivity gaps. Peer-to-peer lending and inclusive fintech now serve young (61%) and rural (24%) borrowers in India, surpassing traditional banks. AI lowers experimentation costs, enabling multilingual tools for underserved markets. Despite a market projected at $652 billion by 2030 (15.3% CAGR), bottlenecks persist: 40% adoption hurdles from poor digital literacy and infrastructure. Funding shifts—USAID cuts, donor reductions—demand hybrid models blending public, private, and research efforts. Success hinges on consumer trust, bias mitigation in AI, and policies prioritizing resilience over access alone, fostering sustainable economic participation globally.

Global trade wars, marked by rising tariffs, non-tariff barriers, and protectionist policies among major economies, have become a serious challenge to the global trading system. Trade conflicts such as the United States–China trade war have disrupted global supply chains, affected trade flows, and increased uncertainty in international markets. This paper analyses the concept of global trade wars and examines their impact on the Indian economy. It discusses the effects on India’s exports, imports, manufacturing, services, agriculture, foreign direct investment, employment, and financial markets. While trade wars create challenges in the form of reduced global demand, market volatility, and pressure on domestic industries, they also provide opportunities for India to diversify exports, attract investment, and strengthen its role in global value chains. The paper concludes that with appropriate policy measures, structural reforms, and a balanced trade strategy, India can reduce the negative impact of trade wars and convert global trade disruptions into long-term economic advantages.

Education has traditionally been viewed as a structured process that takes place within formal institutions such as schools, colleges, and universities. However, in the context of rapid technological advancements, globalisation and evolving labor market requirements, this conventional understanding of education is no longer sufficient. Knowledge and skills acquired during formal schooling often become outdated, making continuous learning essential for individuals to remain relevant, adaptable, and competitive. In the contemporary knowledge-driven economy, learning has extended beyond the boundaries of formal education to become a lifelong process essential for continuous skill development. Rapid technological advancements, evolving workplace demands and social transformations have intensified the need for individuals to engage in learning throughout their lives. This paper explores the concept and scope of lifelong learning beyond formal education and examines key strategies that promote continuous skill development across different stages of life.

The rapid expansion of digital services has increased the importance of data privacy, security, and Know Your Customer (KYC) frameworks in financial and governance systems. However, marginalized populations including lowincome groups, rural communities, migrants, women, and informal workers often face significant challenges in accessing these systems due to limited digital literacy, lack of formal identification, and inadequate infrastructure. This paper examines the intersection of data privacy, security, and KYC processes in the context of marginalized communities, highlighting how exclusionary design and weak data protection mechanisms can deepen social and economic inequalities. It explores key risks such as data misuse, surveillance, identity theft, and consent violations, which disproportionately affect vulnerable groups. The study also existing regulatory frameworks and digital identity initiatives, with a focus on balancing financial inclusion and individual rights. The paper concludes by emphasizing the need for inclusive KYC models, robust data protection laws, and community-centric digital literacy programs to ensure secure, equitable, and rights-based access to digital services for marginalized populations.

Praachin Bharathiya education, or ancient Indian education, was a holistic system aimed at the overall development of individuals, integrating intellectual, moral, spiritual, and practical learning. Unlike modern education systems that often prioritize examinations and vocational training, the ancient Indian approach focused on shaping character, building discipline, and preparing students to contribute meaningfully to society. Central to this system were the Gurukula and Guru-Shishya traditions, emphasizing personalized guidance, moral instruction, and experiential learning. Teaching methods included listening (Shravana), reflection (Manana), meditation (Nididhyasana), debate (Tarka), storytelling (Itihasa-Purana), memorization (Smriti), practice (Kriya), observation (Darshana), self-study (Svadhyaya), and value-oriented education (Dharma). Institutions such as Takshashila, Nalanda, and Vikramashila formalized higher education and influenced global learning. The integration of ethics, social responsibility, and holistic development makes ancient Indian education relevant to modern pedagogical practices, highlighting the importance of value-based, experiential, and student-centered learning.

This study examines how fintech innovation shapes financial inclusion among gig workers in Coimbatore District, an expanding urban labour market characterized by platform-based work, irregular earnings, and limited access to financial services. Gig workers engaged in ride-hailing, food delivery, e-commerce logistics, home services, freelance digital work increasingly rely on mobile wallets, Unified Payments Interface transactions, digital bank accounts, microcredit applications, insur tech products, and platform-linked payment systems. The study adopts a mixed-method empirical design, combining a survey of gig workers with interviews involving workers, platform representatives, fintech providers, and financial intermediaries. It investigates the relationship between fintech usage and key inclusion outcomes: account ownership and active usage, payment convenience, savings behaviour, access to short-term credit, insurance coverage, financial resilience, and perceived control over finances. The analysis also assesses the influence of digital literacy, income volatility, gender, education, migration status, type of gig work, smartphone access, trust, data-privacy concerns, and awareness of consumer protection mechanisms. The research is expected to show that fintech reduces transaction costs and enables faster payments, wider market participation, and easier access to basic financial products. The study therefore conceptualizes financial inclusion not merely as access to an account or application, but as the capacity to use affordable, appropriate, transparent, and safe financial services over time. By offering district-specific evidence, the study contributes to scholarship on platform labour, inclusive fintech, and urban economic development. Its findings can inform policymakers, banks, fintech firms, and platform companies in designing worker-centred products, targeted digital-literacy programmes, portable social-security mechanisms, and stronger consumer-protection frameworks for an equitable gig economy.

TheimplementationoftheGoodsandServicesTax(GST)hasprofoundlytransformed the operationsofonlinemarketplacesinIndia.Thesedigitalplatformsfacilitateinteractions betweenbuyersandsellersfortheexchangeofgoodsandservicesovertheinternet,withnotable examplesincludingAmazon,Flipkart,andMeesho.TheintroductionofGSTestablisheda uniform indirecttaxsystemthatreplacedamyriadoftaxes,includingVAT,servicetax,and exciseduty,therebystreamliningthetaxationprocessfore-commerceenterprises.TheGST frameworkmandatesregistrationfore-commercesellersandincorporatestheTaxCollectedat Source(TCS)mechanismfore-commerceoperators.Theseinitiativesenhancetaxcompliance, promote transparencyinonlinetransactions,andfacilitateimprovedoversightofdigitalbusiness activities.Insummary,GSThassignificantlycontributedtotheregulationofonline marketplaceswhilefosteringthegrowthofIndia'sdigitaleconomy.

Data Governance, Privacy, and Digital Sovereignty have become essential components of the digital era. Effective data governance ensures the proper collection, management, security, and utilization of data while maintaining transparency and accountability. Privacy focuses on protecting individuals’ personal information and safeguarding their rights against unauthorized access and misuse. Digital sovereignty refers to a nation’s ability to control and regulate its digital infrastructure, data, and technologies in accordance with its laws and national interests. Together, these concepts play a crucial role in promoting cybersecurity, building public trust, ensuring regulatory compliance, and strengthening economic and national security. As digital technologies continue to evolve, balancing innovation with privacy protection and sovereign control remains a key challenge for governments, organizations, and societies world wide.

Sustainable startups are increasingly recognized as key drivers of environmental conservation and economic development. In recent years, the adoption of eco-friendly innovations has become essential for startups to achieve operational efficiency, market competitiveness, and social responsibility. This study aims to examine the eco-friendly ideas and innovations adopted by sustainable startups in Pollachi, the benefits they gain from these practices, and the factors influencing their adoption. A descriptive research design was employed, and data were collected from 150 startup owners and managers using a structured questionnaire. The study utilized descriptive statistics, ranking analysis, cross-tabulation, and Chi-square tests to analyze the data. The findings indicate that energy-efficient technologies, waste reduction practices, and renewable energy adoption are the most common eco-innovations, with significant benefits including cost reduction, improved brand image, and enhanced market competitiveness. The study also reveals a significant association between the type of startup and the eco-innovations adopted. The results provide valuable insights for policymakers, entrepreneurs, and researchers aiming to promote sustainable business practices in India.

Goods and Services Tax (GST) plays an important role in the present business scenario. It replaces the all indirect tax like Sales tax and Value added Tax (vat) etc., after implementation of GST, it is witnessed that a number of positive changes has been taken in the fiscal domain of India. GST is making country. For the purpose of the study both primary and secondary data are utilized. Primary data have been collected from GST taxpayers by distributing questionnaires to them. Secondary data have been collected from journals, magazines, newspaper, books and websites. Convenient sampling method has been adopted for collecting primary data. Of the 250 questionnaire distributed to small and medium traders, 246 were found complete in all respect and they are considered for the study. This study concluded that GST has simplified tax compliance system and have a positive influence at overall industry by creating single unified market. For small scale medium traders and startups, GST has benefited by increasing threshold limit, decreasing cost of logistics and tax payment simplification.

Quantum computing represents a revolutionary shift in computational capabilities, enabling solutions to problems previously intractable for classical systems. This chapter examines quantum computing as a catalyst for global academic excellence, emphasizing its role in accelerating scientific discovery, fostering multidisciplinary collaboration, and driving innovation across healthcare, finance, security, and material sciences. It explores core quantum principles, emerging technologies, and algorithmic frameworks while highlighting societal, ethical, and policy considerations critical to responsible deployment. By integrating quantum computing with artificial intelligence, Big Data, and domain-specific knowledge, researchers can generate transformative insights and solutions with global relevance. The chapter also addresses current challenges, emerging opportunities, and strategic pathways to harness quantum computing for sustainable research impact, cross-disciplinary advancement, and the cultivation of globally competitive academic ecosystems.

The Pradhan Mantri Jan Suraksha Schemes were introduced by the Government of India to promote financial security and social protection among economically vulnerable sections of society. These schemes include Pradhan Mantri Suraksha Bima Yojana (PMSBY), Pradhan Mantri Jeevan Jyoti Bima Yojana (PMJJBY), and Atal Pension Yojana (APY), which aim to provide affordable insurance and pension benefits. The present study focuses on analyzing the socio-economic profile of beneficiaries in Pollachi Taluk and examining their level of awareness, participation, and access to these schemes. Using primary data collected from 411 respondents through structured questionnaires, the study employs descriptive statistical analysis to examine demographic characteristics and awareness distribution. The findings reveal that beneficiaries mainly belong to rural areas, nuclear families, and lower income groups, with medium awareness levels about the schemes. The study highlights the importance of awareness programs and institutional support in improving participation and enhancing financial inclusion.

Artificial Intelligence (AI) tools have become an important part of higher education by supporting students in academic activities such as assignments, research, content writing, and exam preparation. This study aims to examine the attitudes and perceptions of students towards the ethical use of Artificial Intelligence tools in higher education, with special reference to UG Commerce students in Pollachi Taluk. The study is based on primary data collected from 300 respondents using a structured questionnaire. Percentage analysis, mean, standard deviation, and ranking techniques were used to analyze the data. The findings reveal that most respondents are aware of AI tools and use them regularly for academic purposes. ChatGPT emerged as the most frequently used AI tool. The study also indicates that respondents generally have a positive attitude towards AI tools while recognizing the importance of ethical usage. Most respondents believe that AI should be used only as a learning aid and not as a substitute for independent work. The study concludes that AI tools offer significant benefits in higher education when used responsibly. Promoting ethical awareness and implementing clear institutional policies can help students use AI effectively while maintaining academic honesty and improving learning outcomes.

Multicropping optimization is a complex and multi-objective problem that involves selecting optimal crop combinations to maximize yield and profit while minimizing resource usage. This paper proposes a hybrid intelligent optimization framework integrating Genetic Algorithm (GA), Deep Learning (DL), and Particle Swarm Optimization (PSO), collectively referred to as the Neuro-Evolutionary Swarm Optimization (NESO) model. The Genetic Algorithm performs global exploration to generate diverse crop combinations, while the Deep Learning model predicts crop yield based on environmental and agricultural parameters. The Particle Swarm Optimization algorithm refines solutions by improving convergence speed and optimizing parameters. Experimental results demonstrate that the proposed hybrid model significantly outperforms individual algorithms in terms of prediction accuracy, convergence speed, and resource efficiency. The model provides an effective and scalable solution for sustainable multicropping optimization.

The introduction of the Goods and Services Tax (GST) in July 2017 marked a significant transformation in India’s indirect taxation system by integrating various central and state taxes into a unified tax framework. This reform aimed to simplify tax administration, improve transparency, and enhance economic efficiency. Women-led businesses and social enterprises play an important role in promoting inclusive economic growth, employment generation, and community development. GST has encouraged formalization, improved interstate market access, and enabled participation in digital and e-commerce platforms. On the other hand, compliance requirements, digital filing procedures, and working capital constraints pose challenges, especially for small and micro enterprises managed by women entrepreneurs and social organizations. This study examines the impact of GST on women-led and social enterprises by analyzing its benefits, operational challenges, and opportunities for inclusive entrepreneurship.

Financial exclusion has long hindered equitable economic development in India, particularly among rural populations, informal workers, and marginalized communities. The introduction of the Goods and Services Tax (GST) marked a transformative shift toward formalization, transparency, and digitalization of the Indian economy. Simultaneously, the Government of India launched the Pradhan Mantri Jan Suraksha Yojana (PMJSY) to provide affordable insurance and pension coverage through schemes such as Pradhan Mantri Jeevan Jyoti Bima Yojana, Pradhan Mantri Suraksha Bima Yojana, and Atal Pension Yojana. This paper examines how GST-driven digital infrastructure, compliance mechanisms, and financial transparency contribute to expanding digital financial inclusion under the Jan Suraksha framework. By integrating tax formalization with digital payment systems and banking access, GST indirectly strengthens participation in social security schemes. The study adopts a policy-analytical approach to evaluate the synergy between tax reform and inclusive financial architecture, highlighting its implications for sustainable economic development and Digital India initiatives.

Digital financial inclusion has emerged as a critical mechanism for enhancing financial access and economic participation among rural populations. The growing use of digital technologies such as mobile banking, digital payment systems, and fin tech platforms has enabled rural households to access formal financial services including savings, credit, insurance, and government welfare transfers. This study examines the extent of digital financial inclusion among rural populations and identifies the factors influencing the adoption and effective use of digital financial services. It highlights the role of digital infrastructure, financial literacy, affordability, and supportive government initiatives in promoting inclusive finance. The study also explores key challenges faced by rural communities, such as limited digital awareness, inadequate internet connectivity, cyber security concerns, and trust-related issues in digital transactions. Based on secondary data from government reports and existing empirical studies, the paper analyzes the impact of digital financial inclusion on rural financial behavior and economic empowerment. The findings suggest that strengthening digital literacy programs and improving rural digital infrastructure are essential for achieving sustainable and equitable digital financial inclusion.

Multicropping has emerged as an effective strategy to enhance agricultural productivity, improve land-use efficiency, and reduce risks associated with climate variability. However, identifying optimal crop combinations and irrigation strategies is a complex optimization problem involving nonlinear relationships among crops, soil conditions, and water availability. This study proposes a hybrid optimization framework named the Neuro‑EvoSwarm Optimizer (NESO) that integrates Deep Learning (DL), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO) for intelligent multicropping strategy optimization across different irrigation systems. In the proposed approach, a deep learning model first learns the nonlinear relationships between crop combinations, irrigation levels, soil parameters, and expected yield. The trained model then acts as a predictive fitness evaluator for evolutionary optimization. The Genetic Algorithm performs global exploration of possible crop combinations and land allocation strategies, while the Particle Swarm Optimization component refines promising candidate solutions through swarm‑based local search. The framework is evaluated using agricultural datasets containing crop yield information, irrigation conditions, and soil characteristics. Experimental results demonstrate that NESO achieves improved yield prediction accuracy, enhanced water‑use efficiency, and faster convergence compared with standalone GA, PSO, and GA‑PSO hybrid models. The proposed system highlights the potential of hybrid artificial intelligence techniques in supporting sustainable agricultural decision‑making and precision farming practices.

Inclusive education has become a central objective of educational reforms worldwide, aiming to ensure equitable access to quality learning for students with diverse abilities, socio-economic backgrounds, and linguistic identities. In India, the National Education Policy (NEP) 2020 strongly emphasizes learner-centric education, digital transformation, accessibility, and technology integration to achieve inclusive growth. Artificial Intelligence (AI) has emerged as a powerful enabler in this transformation, particularly through AI-driven assistive technologies that support personalized learning, accessibility, and adaptive instruction. This paper examines the role of AI-based assistive technologies in strengthening inclusive education under the NEP 2020 framework. It analyses key opportunities such as personalized learning, multilingual accessibility, assistive support for learners with disabilities, and real-time assessment systems. The study also highlights major challenges including digital divide, teacher readiness, ethical concerns, data privacy, and infrastructural limitations. Using secondary data from government reports, academic publications, and global educational statistics, this paper evaluates the current adoption status of AI in Indian education and proposes future strategies for sustainable implementation. The findings suggest that while AI offers transformative potential for equitable education, systematic policy alignment, infrastructure development, teacher capacity building, and ethical governance are essential to ensure inclusive and responsible deployment.

This chapter explores how the Make in India initiative, combined with strategic innovation, can transform India’s manufacturing sector by 2047. It examines the role of technology, policy reforms, human capital development, and entrepreneurial ecosystems in fostering competitiveness and sustainability. The chapter highlights key opportunities and challenges in building a future-ready manufacturing economy that contributes to inclusive growth and global leadership.

Discipline served as the foundation of ancient Indian education, especially in the Gurukul system, where it cultivated self-control, moral values, and holistic growth among students. Discipline integrated physical routines, obedience to gurus, and ethical training to build character, humility, and societal responsibility. It emphasized values like honesty, respect, and truthfulness through daily immersion in the guru's ashram. Students followed strict schedules with pre-dawn prayers, yoga, chores, and studies, fostering self-discipline over external punishments. This approach balanced intellectual pursuits with spiritual and physical development via oral learning and debates. The system produced disciplined individuals ready for life, prioritizing inner growth and service, as seen in Vedic and Buddhist traditions like Nalanda. Discipline functioned as a core pedagogical principle in the Gurukul system, embedding self-control and moral development into every aspect of learning toshape well-rounded individuals. Gurus modeled discipline through their conduct, teaching students obedience, humility, and ethical values via immersion in ashram life, where learning occurred orally and holistically. This principle prioritized character over rote knowledge, using routines to instill truthfulness, respect, and detachment from materialism.

The concept of green and energy-efficient computing has become an essential strategy for tackling the environmental and economic issues that arise from the rapid expansion of information technology. The growing reliance on computers, data centers, and digital devices has resulted in increased energy usage and considerable carbon emissions. Green computing is centered on the design, production, utilization, and disposal of computing devices in a manner that is environmentally sustainable, whereas energy-efficient computing focuses on minimizing power consumption without sacrificing performance. This research underscores the significance of embracing eco-friendly technologies, energy-saving methods, and sustainable IT practices. Additionally, it explores the challenges and opportunities linked to the implementation of green computing solutions. The integration of such practices not only lowers operational expenses but also aids in environmental preservation and promotes sustainable development.

Digital governance has emerged as a critical instrument for promoting transparency, efficiency, and inclusiveness in public financial management. In India, the implementation of the Goods and Services Tax (GST) marked a transformative shift toward a unified indirect tax system supported by digital infrastructure. This article examines how GST reforms, enabled by technology-driven tax administration, contribute to strengthening inclusive economic growth while reshaping the dynamics of fiscal federalism, with a particular focus on the state of Tamil Nadu. The study evaluates the role of digital platforms such as the Goods and Services Tax Network (GSTN) in improving tax compliance, reducing leakages, and facilitating real-time monitoring of revenue flows. It further analyzes the implications of GST for intergovernmental fiscal relations, including revenue sharing, compensation mechanisms, and state-level fiscal autonomy. Using policy analysis, secondary data, and state-specific revenue trends, the article explores how GST has influenced Tamil Nadu’s fiscal capacity, public expenditure priorities, and development outcomes. The findings suggest that while digitalized GST administration has enhanced transparency and broadened the tax base, challenges persist in balancing central coordination with state fiscal independence. The study argues that strengthening digital governance frameworks, improving cooperative federal mechanisms, and addressing revenue volatility are essential for ensuring that GST reforms effectively support inclusive and sustainable growth in Tamil Nadu and across India.

The rapid advancement of Internet of Things (IoT) technology has enabled the development of intelligent home automation systems that enhance user convenience, accessibility, and energy efficiency. This paper presents the design and implementation of a Smart Curtain Control System that allows users to control curtain operations using both voice commands and automatic light sensing mechanisms. The system is built around an ESP8266 NodeMCU microcontroller integrated with a Light Dependent Resistor (LDR), servo motor, and a voice recognition interface for user interaction. The LDR sensor continuously monitors ambient light intensity and transmits real-time data to the microcontroller, which processes the input and controls the curtain movement accordingly. When the light intensity exceeds a predefined threshold, the system automatically closes the curtain, whereas in low-light conditions, it opens the curtain to allow natural illumination. Additionally, voice commands such as “Open Curtain” and “Close Curtain” are processed in real time, providing a manual override mechanism for the user. Experimental evaluation demonstrates that the system achieves a response time of approximately 1–2 seconds with reliable performance across different lighting conditions. The system ensures improved energy efficiency by optimizing the use of natural light and reducing dependency on artificial lighting. The proposed solution confirms the feasibility of implementing cost-effective smart curtain automation systems for real-time smart home applications.

Artificial Intelligence (AI) and Machine Learning (ML) technologies are transforming the E-Commerce sector by streamlining supply chains, enhancing inventory management, and providing better customer experiences through personalized recommendations. Using real-time data and predictive algorithms, businesses can efficiently manage stock levels and forecast demand. In terms of security, ML and AI provide effective means of detecting and mitigating fraud, protecting personal data, and ensuring secure transactions. This paper delves into the numerous applications and benefits of AI and ML in E-Commerce, highlighting their critical roles in increasing efficiency, improving consumer satisfaction and protecting operations in a fast-paced online market.

The introduction of the Goods and Services Tax (GST) marked a major structural reform in India’s indirect tax system. By replacing multiple central and state taxes with a unified tax framework, GST aimed to simplify taxation, promote formalization, and improve economic efficiency. This chapter examines post-GST economic changes with a specific focus on sectoral growth patterns and the challenges faced by small businesses. The study highlights how GST has influenced manufacturing, services, and trade sectors, while also assessing compliance burdens, digital adaptation, and cost pressures on micro and small enterprises. The chapter concludes that while GST has supported long-term economic integration and transparency, targeted reforms are necessary to ensure inclusive growth for small businesses.

Digital currencies are emerging as a transformative force in the global financial ecosystem, with significant potential to enhance inclusive payment systems. By leveraging digital technologies such as block chain and mobile platforms, digital currencies enable fast, low-cost, and secure transactions without dependence on traditional banking infrastructure. This makes them particularly valuable for extending financial services to unbanked and under banked populations. Central Bank Digital Currencies (CBDCs), cryptocurrencies, and mobile-based digital money are reshaping how individuals, businesses and governments conduct payments. Despite their advantages, challenges such as digital literacy gaps, cyber security risks, regulatory uncertainties, and infrastructure limitations remain. This study examines the role of digital currencies in promoting inclusive payments, highlights their benefits and challenges and explores future prospects for achieving equitable access to financial services.

Digital micro-lending has emerged as a transformative financial innovation aimed at improving access to credit for low-income and marginalized populations. By leveraging mobile technology, digital platforms, and alternative data, digital micro-lending reduces barriers that traditionally excluded the poor from formal financial systems. At the same time, social security systems seek to protect vulnerable populations from economic shocks such as illness, unemployment, disability, and old age. This paper explores the role of digital micro-lending in supporting social security objectives for the poor. It examines how digital micro-lending complements social protection programs, enhances financial inclusion, promotes economic resilience, and contributes to poverty reduction. The paper also discusses challenges such as over-indebtedness, data privacy concerns, and regulatory gaps, and offers policy recommendations for sustainable integration of digital finance and social security systems.

Coconut farming requires continuous monitoring of environmental parameters to ensure high yield and sustainable management. Traditional farming practices often rely on manual observation, which is time-consuming and less accurate. This paper presents a real-time IoT-based monitoring system for coconut farms, integrated with the Blynk application and weather insights. The proposed system uses sensors to collect key parameters such as soil moisture, temperature, humidity, and light intensity. A NodeMCU microcontroller processes the data and transmits it via Wi-Fi to the Blynk platform, enabling farmers to remotely monitor and control irrigation systems through their smartphones. Additionally, weather monitoring and forecasting are incorporated to provide predictive insights, allowing better irrigation scheduling and crop management. This smart system not only minimizes water usage but also reduces labor costs and supports climateresilient farming practices. The integration of IoT with Blynk and weather analytics thus enhances productivity, promotes sustainable resource utilization, and improves decision-making for coconut farmers.

The rapid advancement of digital technologies has fundamentally transformed the competitive landscape of global markets, enabling firms to achieve unprecedented levels of market dominance through innovation, data-driven decision-making, and platform-based business models. Digital market dominance is characterized by the ability of firms to leverage network effects, artificial intelligence, big data analytics, cloud computing, and digital ecosystems to establish sustainable competitive advantages. Unlike traditional forms of market leadership, digital dominance is increasingly driven by intangible assets such as user data, technological capabilities, and ecosystem integration. This theoretical study examines the emerging trends contributing to digital market dominance and explores their implications for businesses, consumers, and policymakers. The study further discusses contemporary challenges such as regulatory scrutiny, data privacy concerns, algorithmic bias, cybersecurity risks, and increasing market concentration. It argues that while digital market dominance promotes innovation, operational efficiency, and customer value creation, it also necessitates responsible governance and fair competition. The paper concludes that sustainable digital leadership depends on balancing technological advancement with ethical business practices, transparent data governance, and adaptive regulatory frameworks. The study contributes to the growing body of literature by integrating multiple theoretical perspectives into a comprehensive framework for understanding digital market dominance in the evolving digital economy.

TheimplementationoftheGoodsandServicesTax(GST)hasprofoundlytransformed the operationsofonlinemarketplacesinIndia.Thesedigitalplatformsfacilitateinteractions betweenbuyersandsellersfortheexchangeofgoodsandservicesovertheinternet,withnotable examplesincludingAmazon,Flipkart,andMeesho.TheintroductionofGSTestablisheda uniform indirecttaxsystemthatreplacedamyriadoftaxes,includingVAT,servicetax,and exciseduty,therebystreamliningthetaxationprocessfore-commerceenterprises.TheGST frameworkmandatesregistrationfore-commercesellersandincorporatestheTaxCollectedat Source(TCS)mechanismfore-commerceoperators.Theseinitiativesenhancetaxcompliance, promote transparencyinonlinetransactions,andfacilitateimprovedoversightofdigitalbusiness activities.Insummary,GSThassignificantlycontributedtotheregulationofonline marketplaceswhilefosteringthegrowthofIndia'sdigitaleconomy.

As emerging technologies, including artificial intelligence (AI), blockchain, the internet of things (IoT), cloud computing, quantum computing, 5G networks, and cybersecurity solutions, continue to advance at a rapid pace, they are transforming both the global economy and the geopolitical landscape. Emerging technologies will continue to be critical enablers of sustainable development and key drivers of national security and international competitiveness. Increasingly, governments, businesses, and institutions around the world are leveraging digital innovation as a means to support productivity improvements, foster effective governance, enhance resilience against cyber threats, and meet their objectives for sustainable growth. This paper reviews the role of emerging technologies in supporting economic development; enhancing security frameworks; and improving competitiveness on a global scale by analysing existing literature and current trends. The study identifies the associated opportunities and challenges associated with the adoption of emerging technologies through qualitative methods. The research suggests that strategic investment in digital infrastructure, innovation ecosystems and cybersecurity will be essential for nations looking to lead in an increasingly digital world order.

Due to significant improvements in wireless communication, Mobile Ad Hoc Networks (MANET) have been utilized in different fields, such as power conservation, and the Internet of Things (IoT), etc.The present routing protocols employed in MANETs are limited by the concomitant issues. The network's design challenges include limiting energy consumption and ensuring node security. This article presents the Hybrid Secured Routing Protocol (HSRP), which utilizes a Genetic Algorithm (GA) and an optimization approach to choose the most effective route in a multipath scenario. The research focused on selecting the most optimal route to reach the destination. The path with the most significant fitness score is considered optimalusing density maxima and selected Cluster Heads (CHs) according to recent, indirect, and direct trusts. CHs select the best route using the cumulative characteristics of the ideal route, such as throughput, delay, and routing overhead.By obtaining a 17% improved packet delivery ratio, a 11% reduction in routing overhead with minimal attack detection time (68.6 sec) when compared to conventional procedures, the suggested HSRP model shows notable advantages over current approaches. These developments highlight the model's supremacy in energy conservation and dependable network performance.

Marketing has undergone a significant transformation, evolving from product-centric approaches to holistic consumer-centered ecosystems enhanced by digital technologies. Marketing 5.0 represents the intersection of human-centric values and advanced artificial intelligence (AI), enabling organizations to deliver hyper-personalized experiences, develop emotionally resonant brand identities, and engage consumers across dynamic digital touchpoints. This paper examines how Marketing 5.0 integrates artificial intelligence, machine learning, predictive analytics, and cognitive automation to reshape consumer engagement and brand management. Through a comprehensive literature review and conceptual analysis, the paper highlights AI’s role in advancing customer experience, sentiment analysis, product recommendation engines, social listening, and brand authenticity. It also discusses practical applications across industries, ethical challenges, and future implications for marketers. The findings suggest that AI-enabled Marketing 5.0 enables deeper customer insights, enhances brand loyalty, and supports purposeful branding, but requires strong governance structures to ensure responsible use. The paper concludes that the strategic synergy of AI and human creativity forms the foundation for next-generation marketing practices.

One of the most serious threats to global food security is plant diseases compromising agricultural productivity and threatening the livelihoods of millions. These diseases can decimate crops, disrupt food supply chains, and escalate the risk of food shortages, underscoring the urgency of implementing robust strategies to safeguard the world’s food sources. Deep learning methods have revolutionized the field of plant disease detection, offering advanced and accurate solutions for early identification and management. However, a recurring problem in deep learning models is their susceptibility to a lack of robustness and generalization when facing novel crop and disease types that were not included in the training dataset. In this paper, we address this issue by proposing a novel deep learning-based system capable of recognizing diseased and healthy leaves across different crops, even if the system was not trained on them. The key idea is to focus on recognizing the diseased small leaf regions rather than the overall appearance of the diseased leaf, along with determining the disease’s prevalence rate on the entire leaf. For efficient classification and to leverage the excellence of the Inception model in disease recognition, we employ a small Inception model architecture, which is suitable for processing small regions without compromising performance. To confirm the effectiveness of our method, we trained and tested it using the widely acclaimed Plant Village dataset, recognized as the most utilized dataset for its comprehensive and diverse coverage. Our method achieved an accuracy rate of 94.04%. Furthermore, when tested on new datasets, it achieved an accuracy rate of 97.13%.

Data Governance, Privacy, and Digital Sovereignty have become essential components of the digital era. Effective data governance ensures the proper collection, management, security, and utilization of data while maintaining transparency and accountability. Privacy focuses on protecting individuals’ personal information and safeguarding their rights against unauthorized access and misuse. Digital sovereignty refers to a nation’s ability to control and regulate its digital infrastructure, data, and technologies in accordance with its laws and national interests. Together, these concepts play a crucial role in promoting cybersecurity, building public trust, ensuring regulatory compliance, and strengthening economic and national security. As digital technologies continue to evolve, balancing innovation with privacy protection and sovereign control remains a key challenge for governments, organizations, and societies world wide.

The concept of green and energy-efficient computing has become an essential strategy for tackling the environmental and economic issues that arise from the rapid expansion of information technology. The growing reliance on computers, data centers, and digital devices has resulted in increased energy usage and considerable carbon emissions. Green computing is centered on the design, production, utilization, and disposal of computing devices in a manner that is environmentally sustainable, whereas energy-efficient computing focuses on minimizing power consumption without sacrificing performance. This research underscores the significance of embracing eco-friendly technologies, energy-saving methods, and sustainable IT practices. Additionally, it explores the challenges and opportunities linked to the implementation of green computing solutions. The integration of such practices not only lowers operational expenses but also aids in environmental preservation and promotes sustainable development.

The retail landscape in Pollachi Taluk is witnessing a transformative shift as consumers increasingly transition from conventional brick-and-mortar stores to digital marketplaces. This study examines the factors influencing customers' choice of e-commerce platforms over traditional retail shops, focusing on a sample of 120 respondents. Utilizing primary data collected through structured questionnaires and convenience sampling, the research employs percentage analysis, weighted average ranking, and Chi-square tests for data interpretation. The demographic profile identifies a predominantly male (59.2%), young (77.5%), and rural-based (64.2%) consumer base, largely consisting of students and private employees with high educational backgrounds. The findings reveal that "Home Delivery" (Rank I, 1.28) and "Offers/Discounts" (Rank II, 1.29) are the primary drivers for online adoption, while traditional retail remains valued for "Trust" and "Immediate Quality Check." Despite the deep-rooted presence of local retailers, 50.8% of respondents expressed a definitive willingness to shop online, citing time-saving benefits and superior variety as key motivators. Statistical analysis confirms that shopping preferences remain consistent across different age and income groups. The study concludes that an evolving hybrid model is emerging in Pollachi, where e-commerce offers logistical efficiency while traditional shops maintain relevance through immediate availability and personal reliability.

Employment generation and structural transformation are key indicators of economic development in a state economy. Structural transformation refers to the shift of economic activities from traditional sectors such as agriculture to more productive sectors like industry and services. This transformation plays a vital role in improving productivity, increasing income levels, and creating employment opportunities. As economies grow, labor gradually moves from low-productivity agricultural activities to higher-productivity industrial and service sectors. This process helps in reducing unemployment and underemployment while promoting inclusive and sustainable development. The present study focuses on analyzing the relationship between employment generation and structural transformation in the state economy. It also examines sectoral shifts in employment patterns and their impact on economic growth and development. The study highlights the importance of effective policies, investment, and skill development programs in promoting employment opportunities and accelerating structural transformation.

Digital transformation in tax administration has reshaped compliance systems across India, introducing online filing, e-invoicing, and real-time reporting under the Goods and Services Tax Network framework. While these reforms aim to enhance transparency and efficiency, their impact on small taxpayers varies significantly depending on local digital access and capacity. This study examines the relationship between digital access and regulatory compliance pressures among small taxpayers in Pollachi, Tamil Nadu—a semiurban commercial and agricultural hub characterized by micro and small enterprises. The paper explores how infrastructure availability, digital literacy, affordability of technology, and dependence on intermediaries influence compliance experiences. It highlights that although smart phone penetration and internet connectivity have improved, gaps in digital skills, system reliability, and financial resources increase administrative, financial, and psychological burdens on small business owners. The findings suggest that mandatory digital compliance without adequate local support mechanisms can disproportionately affect microenterprises. The study concludes that inclusive policy design—such as simplified filing systems, assisted digital services, mobile-friendly platforms, and localized capacity-building initiatives—is essential to reduce compliance pressures and ensure that digital tax reforms contribute to equitable economic participation in towns like Pollachi.

This study explores the synergistic relationship between cognitive intelligence (CI) and emotional intelligence (EI) and their combined influence on student learning effectiveness. While cognitive intelligence supports reasoning, critical thinking, and problem-solving, emotional intelligence enhances self-awareness, emotional regulation, empathy, and interpersonal skills. Using a mixed-methods research design, data were collected from students and educators through standardized assessments, surveys, interviews, and classroom observations. Quantitative findings reveal a strong positive correlation between CI, EI, and academic achievement, with combined CI EI scores showing the highest predictive power. Qualitative findings further demonstrate that emotional regulation, motivation, and social skills significantly enhance cognitive engagement and learning resilience. The study highlights the importance of integrating cognitive and emotional intelligence within educational frameworks to foster holistic student development and prepare learners for complex academic and real-world challenges.

The rapid growth of digital platforms has transformed the way consumer’s access products, services, and information. However, this digital shift has also led to new challenges, such as online fraud, misuse of personal data, unfair trade practices, and delayed or unclear customer resolutions. Consumer protection in the digital environment aims to safeguard users against these risks by ensuring transparency, accountability, and ethical business practices. Digital grievance redressal mechanisms—such as online complaint portals, help lines, and automated support systems—play a crucial role in providing quick and accessible solutions to consumer issues. This paper examines the importance of strong consumer protection laws, efficient digital complaint systems, and the need for awareness among users. It argues that an effective and inclusive digital grievance redressal framework is essential for building trust, ensuring fair treatment, and empowering consumers in the digital marketplace.

Artificial Intelligence (AI) tools have become an important part of higher education by supporting students in academic activities such as assignments, research, content writing, and exam preparation. This study aims to examine the attitudes and perceptions of students towards the ethical use of Artificial Intelligence tools in higher education, with special reference to UG Commerce students in Pollachi Taluk. The study is based on primary data collected from 300 respondents using a structured questionnaire. Percentage analysis, mean, standard deviation, and ranking techniques were used to analyze the data. The findings reveal that most respondents are aware of AI tools and use them regularly for academic purposes. ChatGPT emerged as the most frequently used AI tool. The study also indicates that respondents generally have a positive attitude towards AI tools while recognizing the importance of ethical usage. Most respondents believe that AI should be used only as a learning aid and not as a substitute for independent work. The study concludes that AI tools offer significant benefits in higher education when used responsibly. Promoting ethical awareness and implementing clear institutional policies can help students use AI effectively while maintaining academic honesty and improving learning outcomes.

Indian Knowledge Systems (IKS) represent a comprehensive and time-tested body of indigenous wisdom developed in the Indian subcontinent across centuries. These systems encompass diverse fields such as education, philosophy, mathematics, astronomy, medicine, linguistics, ecology, architecture, and ethics. Despite their immense relevance, IKS has remained underrepresented in modern education due to issues related to documentation, accessibility, and compatibility with contemporary pedagogical frameworks. In the digital age, computing technologies provide innovative mechanisms to rediscover, preserve, reinterpret, and disseminate Indian Knowledge Systems in meaningful ways. This paper explores the application of computing technologies in the re-exploration of IKS with the aim of enhancing educational quality. Technologies such as digitization, artificial intelligence, data analytics, virtual reality, and online learning platforms are examined as tools that bridge traditional knowledge with modern educational practices. The study further discusses the future scope and educational impact of technology-driven IKS, emphasizing holistic learning, cultural continuity, and sustainable educational development.

The vision of Amrit Kaal represents India’s commitment to inclusive, equitable, and sustainable development as the nation approaches its centenary in 2047. Digital financial inclusion has emerged as a key policy instrument to achieve this vision by expanding access to formal financial services through digital platforms. While initiatives such as the Jan Dhan– Aadhaar–Mobile (JAM) trinity and Unified Payments Interface (UPI) have significantly increased financial access, marginalized communities continue to face barriers in translating access into meaningful empowerment. This paper examines the nature of the digital divide in India, analyzes challenges faced by marginalized groups in adopting digital financial services, and proposes policy measures to ensure inclusive and empowerment-oriented digital finance in the era of Amrit Kaal.

Sustainable and green finance has emerged as a critical component of global financial systems aimed at promoting environmentally responsible economic growth. With increasing climate risks and environmental challenges, financial institutions are adopting digital channels to mobilize funds efficiently for sustainable development. Digital platforms such as mobile banking, fintech applications, block chain, and artificial intelligence are transforming the way green finance products are designed, delivered, and monitored. This paper examines the concept of sustainable and green finance, the role of digital channels in promoting it, key digital tools used, benefits, challenges, and future prospects. The study highlights how digitalization enhances transparency, accessibility, and accountability in green finance, thereby supporting long-term environmental and economic sustainability.

The ancient Indian knowledge system encompasses a wide range of intellectual traditions that integrate science, philosophy, and spirituality, among which Ayurveda holds a prominent position. Ayurveda, meaning the “knowledge of life,” originated in India during the Vedic period and represents a holistic system of healthcare based on the principles of balance and harmony between the body, mind and environment. Rooted in classical texts such as the Charaka Samhita, Sushruta Samhita, and Ashtanga Hridaya, Ayurveda emphasizes preventive healthcare, individualized treatment, and natural healing methods. The philosophical foundations of Ayurveda, including the concepts of Pancha Mahabhutas and Tridosha, reflect the scientific and ecological wisdom of ancient Indian thought. This abstract highlights Ayurveda as a comprehensive ancient Indian knowledge system that integrates medical practice with ethical living, lifestyle regulation, and sustainability. In the contemporary context, Ayurveda continues to be relevant in addressing lifestyle-related disorders and promoting holistic wellbeing, thereby contributing significantly to modern healthcare and public health policy.

Digital governance has emerged as a critical instrument for promoting transparency, efficiency, and inclusiveness in public financial management. In India, the implementation of the Goods and Services Tax (GST) marked a transformative shift toward a unified indirect tax system supported by digital infrastructure. This article examines how GST reforms, enabled by technology-driven tax administration, contribute to strengthening inclusive economic growth while reshaping the dynamics of fiscal federalism, with a particular focus on the state of Tamil Nadu. The study evaluates the role of digital platforms such as the Goods and Services Tax Network (GSTN) in improving tax compliance, reducing leakages, and facilitating real-time monitoring of revenue flows. It further analyzes the implications of GST for intergovernmental fiscal relations, including revenue sharing, compensation mechanisms, and state-level fiscal autonomy. Using policy analysis, secondary data, and state-specific revenue trends, the article explores how GST has influenced Tamil Nadu’s fiscal capacity, public expenditure priorities, and development outcomes. The findings suggest that while digitalized GST administration has enhanced transparency and broadened the tax base, challenges persist in balancing central coordination with state fiscal independence. The study argues that strengthening digital governance frameworks, improving cooperative federal mechanisms, and addressing revenue volatility are essential for ensuring that GST reforms effectively support inclusive and sustainable growth in Tamil Nadu and across India.

The concept of green and energy-efficient computing has become an essential strategy for tackling the environmental and economic issues that arise from the rapid expansion of information technology. The growing reliance on computers, data centers, and digital devices has resulted in increased energy usage and considerable carbon emissions. Green computing is centered on the design, production, utilization, and disposal of computing devices in a manner that is environmentally sustainable, whereas energy-efficient computing focuses on minimizing power consumption without sacrificing performance. This research underscores the significance of embracing eco-friendly technologies, energy-saving methods, and sustainable IT practices. Additionally, it explores the challenges and opportunities linked to the implementation of green computing solutions. The integration of such practices not only lowers operational expenses but also aids in environmental preservation and promotes sustainable development.

The rapid proliferation of Internet of Things (IoT) devices in smart cities has generated unprecedented volumes of heterogeneous data requiring real-time processing, low latency, and efficient resource utilization. Traditional cloud-centric architectures often suffer from bandwidth limitations, communication delays, and scalability challenges when handling dynamic urban workloads. Edge computing has emerged as a promising paradigm by bringing computational resources closer to end devices; however, isolated edge nodes frequently experience resource imbalance, underutilization, and service degradation under varying workloads. This study proposes a novel collaborative edge-computing framework for intelligent resource management in IoT-enabled smart cities. The framework enables cooperative resource sharing among distributed edge nodes and incorporates intelligent workload-aware decision-making for task allocation and processing. By dynamically coordinating computational, storage, and network resources across multiple edge layers, the proposed model aims to reduce latency, improve resource utilization, enhance scalability, and ensure Quality of Service (QoS). The framework is designed to support diverse smart city applications, including intelligent transportation, environmental monitoring, healthcare, and smart energy management.

Fiscal performance and intergovernmental financial relations (IFR) form the backbone of multi-level governance systems, particularly in federal structures like India, where resource allocation between central, state, and local governments shapes economic stability and public service delivery. Effective IFR addresses vertical imbalances—where subnational spending needs exceed revenue capacities—and horizontal disparities across regions, through mechanisms like tax assignments, grants, and revenue sharing. Amid global economic pressures, including post-pandemic recovery and fiscal federalism reforms, analyzing these dynamics reveals their impact on fiscal discipline, growth, and equity. Intergovernmental fiscal relations encompass revenue mobilization, expenditure assignments, and transfers to ensure efficient public finance. Fiscal performance metrics—such as deficit-to-GDP ratios, debt sustainability, and own-revenue buoyancy—hinge on these relations, as over-reliance on central transfers can erode sub national accountability. Principles like subsidiary (assigning functions to the lowest capable level), fiscal autonomy, and equalization guide optimal designs, fostering macroeconomic stability while enabling regional development.

The Blue Economy, which encompasses both the ocean and maritime sectors, is quickly becoming an important force for job creation and technological advancement in a sustainable way. This paper analyses how startups can help change existing maritime industries; details the key enablers and inhibitors of entrepreneurs’ success; and provides policy, funding and ecosystem support frameworks for use by governments and private sector investors. The findings indicate that blue startups have the potential to respond to many of the environmental challenges we currently face, promote equitable economic development and create the conditions for coastal countries to be leaders in future ocean based industries.

Emotional intelligence (EI) has been increasingly recognized as a critical factor influencing academic success among college students. This study investigates the impact of EI components—self-awareness, self-regulation, motivation, empathy, and social skills—on academic achievements using the XGBoost algorithm, a powerful machine learning technique known for its high predictive accuracy. The primary objective of this work is to determine the relative importance of EI traits in predicting academic performance and to develop a robust model that can identify key emotional intelligence factors contributing to student success. A dataset comprising EI assessments and academic records of college students is analyzed, with XGBoost employed for feature importance analysis and predictive modeling. The findings reveal which EI dimensions most significantly influence academic outcomes, providing actionable insights for educators and policymakers to enhance student support programs. This research contributes to the growing body of literature on EI in education by leveraging advanced machine learning to quantify its impact, offering a data-driven approach to improving academic interventions.

As emerging technologies, including artificial intelligence (AI), blockchain, the internet of things (IoT), cloud computing, quantum computing, 5G networks, and cybersecurity solutions, continue to advance at a rapid pace, they are transforming both the global economy and the geopolitical landscape. Emerging technologies will continue to be critical enablers of sustainable development and key drivers of national security and international competitiveness. Increasingly, governments, businesses, and institutions around the world are leveraging digital innovation as a means to support productivity improvements, foster effective governance, enhance resilience against cyber threats, and meet their objectives for sustainable growth. This paper reviews the role of emerging technologies in supporting economic development; enhancing security frameworks; and improving competitiveness on a global scale by analysing existing literature and current trends. The study identifies the associated opportunities and challenges associated with the adoption of emerging technologies through qualitative methods. The research suggests that strategic investment in digital infrastructure, innovation ecosystems and cybersecurity will be essential for nations looking to lead in an increasingly digital world order.

Rapid industrialization, urbanization, and changing consumption patterns have led to a dramatic increase in waste generation across the globe. From household garbage and food waste to industrial by-products, plastic pollution and electronic waste, the volume of waste produced today poses serious threats to environmental sustainability, public health, and economic stability. Recognizing this challenge, the United Nations included waste reduction as a core component of Sustainable Development Goal 12 (SDG 12). One of the key targets of this goal is to substantially reduce waste generation through prevention, reduction, recycling, and reuse. This target emphasizes shifting away from the traditional “take–make–dispose” model toward a circular economy, where resources are used efficiently, waste is minimized, and materials remain in use for as long as possible. Achieving this goal requires collective efforts from governments, industries, communities, and individuals.

The digital banking landscape in Pollachi Taluk has undergone a significant transformation, driven by the proliferation of smartphones and government initiatives for financial inclusion. This study examines the effectiveness of mobile banking services by evaluating user awareness, perceptions, and satisfaction levels. Utilizing primary data collected from 120 respondents via a structured questionnaire and convenience sampling, the research employs percentage analysis, weighted average ranking, and Chi-square tests for data interpretation. The socio-economic profile reveals a predominantly young, female (54.16%), and rural-based (66.66%) demographic with high educational attainment. Findings indicate that users primarily value mobile banking for its functional efficiency, with "Time-saving" (Rank I, 4.467) and "Fast and reliable" transactions (Rank II, 4.435) emerging as the top perceived benefits. While overall satisfaction is high—evidenced by a strong "Ease of login" (4.44) and a 53.55% recommendation rate—a significant technical gap persists, as 47.5% of respondents remain unaware of advanced features. Chi-square results confirm that satisfaction and awareness are independent of annual income and age group, respectively. The study concludes that while mobile banking is effectively utilized for routine transactions, enhancing digital literacy and technical awareness is essential to maximize the potential of modern financial ecosystems in semi-urban regions like Pollachi.

The implementation of the Goods and Services Tax (GST) in India marked a major transformation in indirect tax administration through digital governance. The establishment of the Goods and Services Tax Network (GSTN) introduced online registration, return filing, invoice reconciliation, and automated compliance systems. While GST has improved transparency and formalization of the economy, small taxpayers often encounter challenges related to digital literacy, internet accessibility, and frequent procedural changes. This study examines the level of digital inclusion and the compliance burden experienced by small taxpayers in Tamil Nadu. Primary data were collected from 162 small taxpayers across Coimbatore district using a structured questionnaire. Statistical tools such as percentage analysis, weighted mean score, chi-square test, and correlation analysis were employed. The findings reveal that 69.8% of respondents experience moderate to high compliance burden, primarily due to digital skill gaps and technical portal issues. A statistically significant association was found between digital literacy and compliance satisfaction (p < 0.01). The study concludes that strengthening digital inclusion through targeted capacity-building initiatives and simplified compliance procedures is essential for inclusive GST governance.

Sustainable urban development integrates smart city technologies to create resilient, inclusive, and environmentally friendly urban ecosystems. This abstract explores how digital innovations address rapid urbanization challenges while aligning with global sustainability goals. Smart cities leverage Internet of Things (IoT), artificial intelligence (AI), big data, and renewable energy systems to optimize urban functions like mobility, energy use, and waste management. Sustainable urban development prioritizes reducing carbon emissions, enhancing resource efficiency, and promoting social equity, often guided by UN Sustainable Development Goals (SDGs), particularly SDG 11 for sustainable cities. Key dimensions include smart governance, economy, mobility, environment, people, and living, as seen in global models like Singapore's integrated sensor networks or Barcelona's energy-efficient street lighting. Digital infrastructure such as 5G networks, AI-driven traffic management, and smart grids enable real-time data analytics for predictive maintenance and demand-responsive services. Citizen participation via mobile apps fosters inclusivity, empowering residents in decision-making and reducing digital divides. India's Smart Cities Mission, launched in 2015, targets 100 cities with initiatives like Pune's command centers for flood management and Varanasi's waste-to-energy plants, blending cultural preservation with tech upgrades. In Europe, the EU's Horizon programs emphasize interoperability standards to avoid siloed systems, while East Asian hubs like Seoul use AI for air quality monitoring.

Digital infrastructure delivers the physical and software resources that are required to enable the use of data, processes and computerized devices etc. The Government of India (GOI) has mainly focused on transforming India into a digitally empowered citizen. This paper mainly focuses on digital Infrastructure development in India like high-speed internet, Unique Identity of citizens, mobile banking, Common Service Center (CSC), cloud space for citizens, government e- Marketplace, open forge project and digital currency etc. The barriers in digital infrastructure development such as digital illiteracy and less awareness about innovations in new technologies are also mentioned. It is concluded that digital infrastructure development in India enables citizens to have effective, transparent and accountable government services. India's digital transformation has emerged as a critical driver of economic growth, innovation, and social development. This paper explores the opportunities and challenges presented by India's digital economy. With the government's Digital India initiative and the rapid adoption of digital technologies, India stands at the forefront of global digital innovation. However, challenges such as digital divide, cyber security threats, and regulatory complexities pose significant hurdles to realizing the full potential of India's digital transformation. By analyzing current trends, identifying key opportunities, and addressing challenges, this study aims to provide insights into India's digital economy and its impact on various sectors.