Psychological Wellbeing Assessment Platform

Authors

  • S.Yoga Department of Computer Science, Sakthi College of Arts and Science for Women, Oddanchatram, Tamilnadu, India Author
  • K. Kanimozhi M. Sc (Computer Science), Department of Computer Science, Sakthi College of Arts and Science for Women, Oddanchatram, Tamilnadu, India Author

DOI:

https://doi.org/10.15662/IJARCST.2026.0902004

Keywords:

Psychological Wellbeing, Mental Health Assessment, Depression Screening, Anxiety Detection, Stress Analysis, AI-Based Health Systems, Mood Tracking, Digital Health Platform, Cognitive Behavioral Analysis

Abstract

 Mental health has become a critical concern for students, employees, and the general public, as stress, anxiety, depression, and emotional imbalance continue to rise. However, many individuals hesitate to seek professional help due to social stigma, lack of access to counselors, or limited awareness. This project proposes a Psychological Wellbeing Assessment Platform, an intelligent digital solution designed to evaluate a user's mental health condition using standardized psychological questionnaires, AI-based scoring models, and personalized recommendations. The system assesses wellbeing in multiple dimensions—stress level, emotional state, cognitive behavior, lifestyle factors, and social wellbeing. It provides instant insights, mood tracking, mental wellness reports, and suggestions such as breathing exercises, meditation, and professional contact options. By integrating psychology with technology, the platform promotes early identification of mental health issues, encourages self-awareness, and facilitates timely support, making mental wellbeing more accessible and stigma-free.

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Downloads

Published

2026-03-15

How to Cite

Psychological Wellbeing Assessment Platform. (2026). International Journal of Advanced Research in Computer Science & Technology(IJARCST), 9(2), 417-421. https://doi.org/10.15662/IJARCST.2026.0902004