Digital Mental Health and AI in Campus Wellness Programs

Dr. Sweta Priya, Mr. Ravi H Gedam, Dr. Vivekanand Pandey, Dr. Dharmendra Kumar Yadav

Indexed In: google scholar

Release Date: 22/09/2025 | Copyright:©2025 | Pages: 478

DOI: 10.71443/9789349552999

ISBN10: 9349552999 | ISBN13: 9789349552999

Hardcover:$300

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Digital Mental Health and AI in Campus Wellness Programs explores the integration of artificial intelligence (AI) technologies into campus wellness initiatives to enhance student mental health support. This book delves into innovative AI-driven tools such as virtual therapy, predictive analytics, and personalized wellness assessments designed to monitor and improve student well-being. It highlights the potential of AI in identifying early signs of mental health issues, offering tailored interventions, and promoting accessible, scalable solutions. By focusing on the intersection of technology and mental health, this book provides valuable insights for academic institutions aiming to create supportive and resilient campus environme

Digital Mental Health and AI in Campus Wellness Programs explores the integration of AI technologies in enhancing mental health support for students within academic institutions. It covers the role of AI-driven tools such as chatbots, predictive analytics, and mental health assessments in promoting emotional well-being. The book delves into personalized interventions, real-time monitoring, and data-driven approaches to identify early signs of mental health issues. It also highlights the potential of AI to optimize campus wellness programs, offering scalable and accessible solutions for mental health management, improving engagement, and fostering a supportive, proactive campus environment.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Epidemiology of Student Mental Health Disorders in Higher Education: Identifying the Need for Digital Interventions and AI-Based Solutions

Y. D. Stella, Sarika Pillai

(Pages:36)

Chapter 2

The Architecture of Digital Mental Health Systems: Frameworks, Infrastructure, and Policy Support in Academic Institutions

Dharmendra Kumar Yadav, N. Saranya

(Pages:32)

Chapter 3

Artificial Intelligence in Psychological Screening and Diagnostics: A Literature-Based Framework for Campus Application

Shahnazuddin, Manicka Senthamarai N

(Pages:34)

Chapter 4

Deep Learning Approaches for Real-Time Stress, Depression, and Anxiety Detection in Student Populations Using Multimodal Data

Shahnazuddin, Vivekanand Pandey

(Pages:38)

Chapter 5

Natural Language Processing (NLP) for Emotional State Prediction: Analyzing Student Essays, Messages, and Discussion Boards

Sam Sangeeth, Subhasis Patra

(Pages:32)

Chapter 6

Development of Explainable AI (XAI) Models for Mental Health Monitoring to Enhance Transparency and Counselor Trust

V. Bhoopathy, R. Rajagopal

(Pages:33)

Chapter 7

Designing Emotion-Aware AI Chatbots for 24×7 Student Support: Architecture, Language Models, and Personalization Techniques

Sohong Dhar, P. Kalidas

(Pages:39)

Chapter 8

Smartphone-Based Passive Sensing Systems for Mental Health Tracking: Fusion of GPS, Typing Behavior, and App Usage Data

D. Anandan, Sweta Priya

(Pages:35)

Chapter 9

Wearable Sensors and AI-Based Biofeedback Mechanisms for Monitoring and Managing Psychological Stress in University Students

Ashish B. Patel, Karthika R

(Pages:37)

Chapter 10

Facial Expression Recognition and Voice Biometrics for Stress and Anxiety Estimation in Real-Time Digital Counseling Platforms

Nibedita Das,

(Pages:38)

Chapter 11

Developing Campus Mental Health Dashboards: Integrating AI Analytics for Wellness Monitoring, Alerts, and Faculty Collaboration

P.N. Periyasamy, M. Keerthi Priya

(Pages:36)

Chapter 12

AI-Powered Recommendation Engines for Personalized Coping Strategies, Therapeutic Content, and Academic Accommodations

Madhuri Vagal, M.Shyamala

(Pages:37)

Chapter 13

Cross-Platform Integration of Student Health Data Across Learning Management Systems, Fitness Apps, and Counseling Portals

S. Kanagasankari, P.Selvaraju

(Pages:33)

Chapter 14

Embedding Gamified Mental Health Assessments into Online Courses and Campus Activities for Engagement and Behavioral Change

Aakanksha Sharma, Sweta Priya

(Pages:34)

Chapter 15

Predictive Analytics for Dropout Risk and Mental Fatigue Using Integrated Academic and Psychological Data Models

Vishal Mehta, Vivekanand Pandey

(Pages:32)

Chapter 16

Scalability and Localization of AI Mental Health Tools for Diverse Socioeconomic and Linguistic Student Populations

C Srikanth, Sreekanth Challa

(Pages:36)


Contributions


Mr. Ravi H Gedam, an Assistant Professor in the Computer Science Engineering Department at G H Raisoni University, India, brings a wealth of knowledge and expertise to the field. With over 15 years of teaching experience, he has honed his skills in Programming. His passion for innovation is evident through his 30 IPRS 10 copyrights and have more than 30 papers in reputed journal/Conference.He has authored 16 edited books, His contributions extend to presenting papers at renowned international and national conferences and actively participating in training programs from notable institutes.

Prof. (Dr.) Vivekanand Pandey, Professor, Amity University has more than 26 years of experience in Academics and Academic Administration. Dr. Pandey has authored 03 textbooks, 23 edited books, 01 reference book and contributed various chapters in edited books. He has published more than 15 IPRs and is highly instrumental in ensuring student’s startups. He has conducted number of workshops for government officials of Door Darshan, All India Radio, Judicial Training Center, Uttar Pradesh Police, Indian Railways, Management Development of Uttar Pradesh, etc.

The prime objective of Dr. Pandey as an educationalist is to deploy knowledge towards Analysis, Synthesis and fine-tuning of the organization and task in order to suit the dictates of the environment. Academics apart, He has keen interest in conducting researches especially in the area of Entrepreneurship for Economic Upliftment of Weaker Section of Society.

Dr. Dharmendra Kumar Yadav is an Assistant Professor in the University Department of Mathematics, Lalit Narayan Mithila University, Darbhanga, Bihar. He previously served at HMR Institute of Technology & Management, Galgotias University, and Shivaji College, University of Delhi. He completed his B.Sc. (H) and M.Sc. in Mathematics from colleges under Vinoba Bhave University, Jharkhand. He earned his M. Phil. in Mathematics from Alagappa University, Tamil Nadu, and Ph.D. from Vinoba Bhave University. His research interests include Mathematics Education, Vedic Mathematics, Complex Analysis, and Nonelementary Integrals. He also works on Multidimensional Sequence and Series, and Dominating Sequential Functions.Beyond academics, he writes poems, novels, and socio-political articles. He has published over 40 research papers and 16 books in mathematics and literature.


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