A Mental Health Support Platform Powered by Artificial Intelligence

Authors

  • Deepak Kumar Prajapati Dept. of Computer Science & Engineering, Tezpur University, Assam, India Author
  • Suraj Kumar Dept. of Computer Science & Engineering, Tezpur University, Assam, India Author
  • Shrinivas Mishra Dept. of Computer Science & Engineering, Tezpur University, Assam, India Author
  • Siddeswara. B.Linganna Dept. of Child and Adolescent Psychiatry, LGBRIMH, Tezpur, Assam, India Author
  • Partha Pratim Daimary Dept. of Psychiatry, LGBRIMH, Tezpur, Assam, India Author
  • Rosy Sarmah Dept. of Computer Science & Engineering, Tezpur University, Assam, India Author

DOI:

https://doi.org/10.63635/mrj.v1i3.103

Keywords:

Mental Health Support, AI for Mental Health, Machine learning, Mental health assistant, Natural language processing, Sentiment and Emotion Analysis

Abstract

Mental health has an important role in our overall well-being leading to a balanced, healthy life and contributing meaningfully to society. However, mental health problems are quite common with the World Health Organization reporting an increasing trend in mental health disorders; yet, many people avoid treatment options due to stigma associated with mental health issues in society, long wait periods, as well as limited access to timely and personalized support. Therefore, it is essential to steer towards an Artificial intelligence (AI) based innovative, accessible and personalized solutions to mental health disorders. This paper introduces an AI-powered mental health platform designed to provide comprehensive mental health assistance through several key features: a conversational chatbot, educational content, self-assessment tools, emotion tracking and counselor recommendations. The AI chatbot, built by fine-tuning Llama 3.2 (3B) on mental health conversations, engages users in real-time, offering relevant guidance. Users can gain insights into their mental state through validated surveys, while the emotion detection module uses natural language processing and sentiment analysis to track mood patterns over time. The emotion classification attained an accuracy and F-score of 88%. The platform aims to close the mental health support gap by leveraging AI to promote self-awareness, proactive management and ongoing support.

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Published

2025-07-31

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Section

Research Articles

How to Cite

Prajapati, D. K., Suraj, K., Mishra, S., Siddeswara, B., Partha, P. D., & Rosy, S. (2025). A Mental Health Support Platform Powered by Artificial Intelligence. Multidisciplinary Research Journal, 1(3), 3-15. https://doi.org/10.63635/mrj.v1i3.103

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