Authors :
Dr. L.M. Nithya; Tirth Gupta; Sudharsan D.S; Dhinisha Christy J; Somasundaram S
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/m6jc6kjf
Scribd :
https://tinyurl.com/5x8k9ec8
DOI :
https://doi.org/10.38124/ijisrt/25apr1521
Google Scholar
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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.
Keywords :
Mental Health Support, AI-Powered Chatbot, Emotional Support, Natural Language Processing (NLP), Conversational AI, LangChain, Groq API, Empathetic AI, Mental Health Care, Personalized Support, Artificial Intelligence in Healthcare, user Interaction Data, Emotional Intelligence, AI for Mental Health, Continuous Dialogue, Digital Health Interventions.
References :
- Li, X., & Zhang, Y. (2021). Emotional Support Systems in Chatbots: A Comprehensive Survey and Framework. Journal of Artificial Intelligence Research, 34(2), 135-149.
- Saha, S., & Sharma, P. (2020). Mental Health Applications: A Review of Chatbots for Emotional Support. International Journal of Human-Computer Interaction, 41(3), 215-226.
- Chatterjee, P., & Raj, A. (2022). Towards Empathetic AI for Mental Health: Integration of Natural Language Processing and Sentiment Analysis. IEEE Transactions on Affective Computing, 11(4), 869-879.
- Shapiro, A. H., & Cohen, M. D. (2023). Integrating Conversational AI in Mental Health Care: Innovations and Challenges. Journal of Medical Internet Research, 25(6), e23298.
- Mishra, P., & Gupta, N. (2021). Leveraging Large Language Models for Personalized Mental Health Assistance: A Case Study. Proceedings of the 30th International Conference on Artificial Intelligence, 235-244.
- Zeng, S., & Zhao, W. (2022). Chatbots for Emotional Health Support: A Review of Technologies and Future Directions. Journal of Health Informatics Research, 34(1), 63-80.
- Sánchez, A., & González, M. A. (2021). A Survey on Mental Health AI Systems: Applications, Challenges, and Future Prospects. AI in Healthcare, 6(2), 210-225.
- Zhu, H., & Wang, L. (2020). Human-AI Interaction for Psychological Support: Evaluation of the Effects of Empathetic Responses in Chatbots. Journal of Psychology and Behavioural Science, 12(3), 188-200.
- Cohn, M., & Batra, A. (2023). Using Conversational Agents to Improve Mental Health Outcomes: Evidence from User Studies. Proceedings of the International Conference on Human-Computer Interaction, 19-27.
- Garcia, R., & Martin, D. (2021). AI-Driven Mental Health Chatbots: Challenges and Future Trends in Mental Health Care. International Journal of AI and Wellness, 5(2), 124-138.
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.
Keywords :
Mental Health Support, AI-Powered Chatbot, Emotional Support, Natural Language Processing (NLP), Conversational AI, LangChain, Groq API, Empathetic AI, Mental Health Care, Personalized Support, Artificial Intelligence in Healthcare, user Interaction Data, Emotional Intelligence, AI for Mental Health, Continuous Dialogue, Digital Health Interventions.