As artificial intelligence( AI ) is reshaping the global economy, transitioning youth from digital consumers to AI- driven entrepreneurs is no longer an option but a critical requirement to thrive in ever evolving AI landscape. However, while AI literacy is increasing there remains lack of data on whether the youth are strategically prepared to lead AI- driven entrepreneurial ventures. To assess this, a quantitative study was conducted among youth aged 17-25, via Google Forms, based on their proficiency in technology, perception towards automated systems, and the risk-taking and innovative mindset required for AI-driven business environments. The results indicated that while the youth possess foundational knowledge regarding AI and a positive outlook towards integration of AI into entrepreneurship, there was a significant need for specialized skill-training programs, ethical frameworks, and experiential learning opportunities provided by educational and governmental institutions to enhance their preparedness for futuristic AI-driven entrepreneurial ecosystems.

Fashion waste is frequently portrayed as the result of excessive consumer buying and careless disposal habits. However, such interpretations overlook the structural dynamics embedded within global production systems. This chapter reframes fashion waste as a systemic outcome of industrial overproduction, accelerated design cycles, speculative manufacturing, and limited producer accountability. By situating the discussion within the framework of the United Nations Sustainable Development Goals (SDGs)—particularly SDG 4 (Quality Education), SDG 11 (Sustainable Cities and Communities), and SDG 12 (Responsible Consumption and Production)—the study argues that meaningful reform requires structural intervention rather than consumer blame. Using a qualitative analytical approach grounded in sustainability education and systems thinking, this chapter examines how overproduction operates in contemporary fashion economies and contrasts these patterns with traditional Indian textile systems that historically embodied circularity, durability, and ecological balance. Case examples including Khadi production networks, the Varanasi handloom ecosystem, and repair-based clothing practices in rural Maharashtra illustrate alternative models rooted in community resilience and material longevity. The chapter proposes that integrating sustainability literacy into fashion education (SDG 4.7), revitalizing decentralized textile economies (SDG 11.4), and enforcing transparent production accountability (SDG 12.5 and 12.6) are critical steps toward reducing fashion waste at its source. By repositioning fashion waste as a governance and design issue, the analysis highlights the necessity of systemic transformation aligned with global sustainability commitments.

This study investigates the relationship between excessive use of social media and sleep disturbances among adolescents aged 13–18 years. In recent years, the rapid growth of digital technology and the increasing popularity of social networking platforms have significantly influenced adolescents’ daily routines and lifestyle habits. Social media platforms such as Instagram, Facebook, WhatsApp, Snapchat, and YouTube have become an important part of adolescents’ communication, entertainment, and social interaction. However, excessive engagement with these platforms may lead to several health-related issues, particularly disturbances in sleep patterns. The present study was conducted using a descriptive survey method with a sample of 100 adolescents selected through random sampling. Data were collected using a structured questionnaire designed to measure daily social media usage patterns and different types of sleep disturbances experienced by adolescents. Statistical techniques such as mean, percentage, and correlation were used to analyze the collected data. The results of the study revealed that a significant number of adolescents spend more than three hours daily on social media, especially during late-night hours. The analysis also indicated a strong positive relationship between excessive social media use and sleep disturbance, suggesting that increased screen exposure, late-night usage, constant notifications, and social media addiction contribute to poor sleep quality, daytime fatigue, and reduced concentration among adolescents. The findings highlight the need for awareness regarding responsible social media usage and the importance of maintaining healthy sleep habits among adolescents.

Artificial Intelligence (AI) has emerged as one of the most transformative technologies in modern business operations, particularly in the accounting profession. AI enables automation of repetitive tasks, improves accuracy, enhances data analysis, and supports decision-making processes in financial management. The integration of AI tools in accounting systems helps organisations reduce human error, increase efficiency, and improve financial reporting. This research study examines the role of Artificial Intelligence in the accounting system and its impact on accounting professionals and organisations. The study also explores how accountants and finance professionals perceive AI adoption in their work environment. A survey of 30 respondents in accounting and finance roles was conducted to understand their awareness, use, and impact of AI technologies in accounting. The findings suggest that AI significantly improves efficiency in accounting operations, enhances financial accuracy, and helps accountants focus on strategic decision-making rather than routine tasks. However, concerns about job displacement, technological adaptation, and skill development remain. The study highlights that the future of accounting will involve collaboration between human accountants and AI-powered technologies.

The ADHD awareness ecosystem in India is undergoing a transformative shift, yet significant gaps remain in recognition, diagnosis, and structured support systems. Our research aims to identify systemic gaps in ADHD awareness while addressing challenges faced by awareness-driven startups and existing remedial frameworks. The study focuses on understanding lack of awareness, social stigma, misconceptions, shortage of proper facilities, and privacy concerns within society. It also proposes practical solutions to strengthen ADHD screening, early identification, and access to appropriate treatment in India. The research is descriptive in nature and is based on primary data collected through structured questionnaires and interviews from 107 respondents in the KDMC region. A purposive sampling technique was employed for the proposed research. Collected data were analyzed using both quantitative and qualitative methods. The current study also suggests an innovative model to enhance ADHD awareness, improve screening mechanisms, and promote accessible treatment support systems.

Sustainability has emerged as a global priority in response to environmental degradation, climate change, and resource depletion. In this context, traditional knowledge systems offer valuable insights into sustainable living. The Indian Knowledge System (IKS), rooted in ancient philosophies, cultural practices, and scientific traditions, provides a holistic approach to sustainability. This paper explores how IKS contributes to sustainable practices through its ecological wisdom, ethical values, and community-based approaches. It examines key areas such as agriculture, water conservation, health systems, architecture, and lifestyle practices. The study highlights the relevance of integrating traditional knowledge with modern scientific approaches to achieve sustainable development goals. The findings suggest that IKS can play a crucial role in promoting environmentally responsible and socially inclusive development.