Smart Mental Health Monitoring System using Wellness Score Analytics

Author(s)	Dr. Revathy G, Mr. Sakthi Bharathi I, Mr. Ashok V
Country	India
Abstract	‍ This paper presents an intelligent and data-driven system for the Analysis of Depression Risk using advanced Machine Learning techniques. Depression is one of the most common and serious mental health disorders affecting people across different age groups, particularly students and working professionals who often face academic pressure, career uncertainty, workload stress, and social challenges. In today’s fast-paced environment, mental health issues frequently go unnoticed until they become severe. Therefore, early identification of depression risk plays a crucial role in providing timely emotional support, counselling, and preventive care before the condition worsens. The proposed system focuses on analysing multiple behavioural, lifestyle, and psychological factors that are commonly associated with depression.
Keywords	Digital Twin, Healthcare Assistant, LLaMA.cpp, Medical Report Analysis, Prescription Interpretation, Offline AI, Privacy-Preserving System, Intelligent Healthcare
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-20
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.72039

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