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Dr. N. L. Mishra is a Professor and Head of the Department of Psychology at Mahatma Gandhi Chitrakoot Gramodaya University, Chitrakoot, Satna, Madhya Pradesh, India. His academic position reflects experience in psychology and higher education. His contribution to this volume focuses on AI-based mental health, stress, and well-being prediction.
Mental health, psychological strain, and individual wellness have emerged as significant issues within educational establishments, professional environments, healthcare frameworks, and societal groups. Traditional mental health evaluation techniques frequently rely on self-reported surveys, therapeutic discussions, and intermittent assessments, which may fail to reflect ongoing fluctuations in a person's emotional and psychological condition. Artificial intelligence (AI) provides avenues for examining various data sources, recognising probable stress patterns, and facilitating early mental health evaluations via sophisticated predictive systems. Machine learning, deep learning, natural language processing, wearable sensing, and multimodal data analytics can be employed to analyse behavioural, physiological, environmental, and linguistic markers linked to stress and well-being. It additionally addresses explainable artificial intelligence, privacy-preserving methodologies, equity, human supervision, and ethical implementation. Ultimately, novel research trajectories such as individualised forecasting, federated learning, multimodal foundational models, and context-sensitive digital mental health frameworks are evaluated. The chapter establishes a thorough basis for creating dependable, ethical, and user-focused AI solutions that promote mental health awareness, early intervention, and overall well-being.