Mind Full Mingle – Mental Health Chat Bot

Authors

  • P V Kishore Kumar Associate Professor, Department of CSE (Cyber security), Ramachandra College of Engineering, Eluru, India. Author
  • Sd. Rafiya Cyber Security, RCE, Eluru-AP, 534462, India. Author
  • Y. B. Devayani Cyber Security, RCE, Eluru-AP, 534462, India. Author
  • P. Sai Srideep Cyber Security, RCE, Eluru-AP, 534462, India. Author
  • B. Y. Saradhi Cyber Security, RCE, Eluru-AP, 534462, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2024.0467

Keywords:

User privacy, Python, Natural language processing (NLP), Flask, Database

Abstract

Mental health problems are becoming more widespread and require innovative solutions that provide timely and effective support. This research aims to develop a mental health chatbot using Python and Flask designed to facilitate conversations and provide personalized mental health recommendations. The primary goal is to create an interface where users can express their feelings and receive appropriate guidance, thereby improving mental well-being. The methodology involves implementing natural language processing (NLP) techniques to accurately understand and respond to user input. The chatbot uses a combination of pre-trained language models and customized algorithms to ensure relevant and empathetic responses. Initial results indicate high levels of user engagement and satisfaction, with the chatbot effectively identifying common mental health issues and offering appropriate recommendations. The main contribution of this research lies in the development of an accessible, scalable and effective mental health promotion tool that can be integrated into various platforms to reach a wider audience. This project highlights the potential of AI-driven solutions to address critical societal issues such as mental health and provides a foundation for future advancements in this area.

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Published

2024-10-18