MentalWell - AI Based Mental Health Assistance Platform

  • Unique Paper ID: 176271
  • PageNo: 6272-6277
  • Abstract:
  • MentalWell is an AI-powered mental health platform designed for students and professionals, offering personalized support through chatbots, mood tracking, and self-assessments. Using NLP and ML, it delivers real-time emotional analysis and coping strategies. Built with FastAPI for a scalable backend and Firebase for secure authentication and data handling, the Flutter-based frontend ensures a smooth, cross-platform user experience.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{176271,
        author = {Jothi V and Jaya Shree S and Lakshmi Mayuri Kavya N and Alvin Ancy A},
        title = {MentalWell - AI Based Mental Health Assistance Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6272-6277},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176271},
        abstract = {MentalWell is an AI-powered mental health platform designed for students and professionals, offering personalized support through chatbots, mood tracking, and self-assessments. Using NLP and ML, it delivers real-time emotional analysis and coping strategies. Built with FastAPI for a scalable backend and Firebase for secure authentication and data handling, the Flutter-based frontend ensures a smooth, cross-platform user experience.},
        keywords = {Mental health platform, Chatbots, Mood tracking, Self-assessments},
        month = {April},
        }

Cite This Article

V, J., & S, J. S., & N, L. M. K., & A, A. A. (2025). MentalWell - AI Based Mental Health Assistance Platform. International Journal of Innovative Research in Technology (IJIRT), 11(11), 6272–6277.

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