http://10.9.150.37:8080/dspace//handle/atmiyauni/2135 2026-04-27T18:44:29Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2137 Title: Deep Learning and Visual Artificial Intelligence: A Research Study on Role of a Mentor in Personal Growth of Undergraduate Students Authors: Dave, Nehal; Kavathiya, Hiren Abstract: This study observes how important mentors are to helping undergraduate students develop personally. Students have new difficulties and opportunities when they go from secondary to higher school, making mentoring important to their entire growth. This study explores the complex effects of mentoring on a range of aspects of personal development, namely communication, mutual bonding, emotive intellect, and self-awareness. The study explores the ways that mentoring fosters personal development by using qualitative data gathered from undergraduate students. The study emphasizes the value of relationships between mentors and mentees in developing students’ adaptability and confidence. The study highlights the value of mentoring programs at higher education institutions and provides guidance for teachers, administrators, and policymakers who want to improve personal development of students which is mentioned in NEP 2020 also. 2024-01-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2136 Title: Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom: Unveiling the Future: Exploring Conversational AI Authors: Shah, Meera M.; Kavathiya, Hiren R. Abstract: This book chapter presents a detailed exploration of Conversational AI, offering insights into its evolution, contemporary applications, and future prospects. The chapter begins by tracing the historical development of Conversational AI, highlighting key milestones and breakthroughs that have shaped its current landscape. It delves into the underlying technologies fueling Conversational AI, including natural language processing, machine learning, and neural networks, providing readers with a comprehensive understanding of the technical foundations. Moving beyond technical aspects, the chapter explores the broader impact of Conversational AI on society and various industries. It investigates the transformation of user experiences, the integration of Conversational AI in business processes, and the evolving dynamics of human–computer interactions. Ethical considerations and privacy implications are also discussed, emphasizing the importance of responsible AI development in the realm of conversational interfaces. Real-world applications take center stage as the chapter examines case studies across diverse sectors such as customer service, healthcare, education, and more. Success stories illustrate how organizations leverage Conversational AI to streamline operations, enhance customer engagement, and stay competitive in an increasingly digitized world. Looking towards the future, the chapter outlines potential research directions and challenges in Conversational AI. It considers the role of open-domain models, continual learning, and the evolving expectations of users in shaping the trajectory of Conversational AI development. The exploration of these future trajectories provides readers with valuable insights into the possibilities and considerations that lie ahead. 2024-01-01T00:00:00Z