Review of Hybrid Mental Well-Being Models: Synergizing Chanting, Yogic Interventions, and Machine Learning

Hybrid models of mental well-being based on the combination of chanting-based programs, yogic methods, and machine learning programs are posing as the scientific basis of psychological resilience, emotional stability, and cognitive stability optimization among the Indian population. The paper introduces the initial piece of a rigorous iEEE-style review on the primary concepts and empirical research topics that encompass such a hybrid system. The abstract provides the motivation, scope and relevance of integrating ancient Indian contemplation modalities and computational intelligence to alleviate increasing levels of stress, anxiety and mood disorders in India. This section summarizes the discoveries of the peerreviewed literature in the field of mantra-induced neurophysiological alteration, yogic regulation of autonomic balance, and initial machine-learning instances in analytics of mental health. Findings of Indian cohorts have shown consistent decreases in perceived stress, increases in heart rate variability, and improved emotional control after chanting and yogic treatments and machine learning allows the individual to choose specific interventions and monitor them in real-time. The knowledge acquired in this section forms the theoretical foundation of the further discourse on computational architectures and integrated hybrid systems.