Nithya, L.M. and Gupta, Tirth and D.S, Sudharsan and J, Dhinisha Christy and S, Somasundaram (2025) Healthify: A Conversational AI for Mental Health Support Using Groq and LangChain Frameworks. International Journal of Innovative Science and Research Technology, 10 (4): 25apr1521. pp. 2214-2220. ISSN 2456-2165
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Abstract
Mental health issues are a growing global concern, with many individuals facing barriers to accessing timely and effective care. Recent advancements in artificial intelligence (AI) have opened new possibilities for providing continuous, personalized emotional support. This study presents Healthify, an AI-powered mental health support chatbot designed to provide empathetic, context-aware conversations for individuals seeking emotional guidance. By leveraging LangChain and the Groq API, Healthify combines state-of-the-art natural language processing (NLP) models with a robust memory system, ensuring consistent and personalized interactions tailored to the user’s needs. The chatbot’s ability to engage users in continuous dialogues aims to bridge gaps in mental health care, offering an accessible and non-judgmental platform for support. This research evaluates the effectiveness of Healthify in providing emotional support by analysing its ability to simulate empathetic conversation and address various mental health concerns. Through user interaction data and qualitative analysis, we assess the chatbot’s responsiveness, emotional intelligence, and potential impact on mental well- being. The findings demonstrate that AI-driven platforms can provide a valuable supplement to traditional mental health resources, particularly for individuals who may be reluctant or unable to seek professional help. We conclude that Healthify offers a promising direction for integrating AI in mental health interventions, with implications for expanding access to mental health support on a global scale.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 06 May 2025 09:28 |
Last Modified: | 06 May 2025 09:28 |
URI: | https://eprint.ijisrt.org/id/eprint/709 |