Anusha, S. and Hiranmayee, N. and Kamala, P Swetha and Sagarika, N and Sushma, P Roji and Sai Lakshmi, T Alekhya and Sri, M Kavya (2025) AI for Mental Health Support. International Journal of Innovative Science and Research Technology, 10 (4): 25apr831. pp. 1047-1053. ISSN 2456-2165
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Abstract
Access to mental health support is often limited due to stigma, high costs, and a shortage of professionals. Traditional chatbots lack emotional intelligence and fail to provide meaningful assistance. To overcome these limitations, our AI-powered chatbot leverages advanced models like LLaMA, Groq API, and ChromaDB to deliver personalized, empathetic, and context-aware responses. By analyzing user emotions through sentiment detection, the chatbot provides tailored support while maintaining user privacy. It uses retrieval-augmented generation (RAG) for fact-based guidance and integrates mental health resources to enhance user engagement. Past interactions are stored for continuity, ensuring a more personalized experience. Designed to be inclusive, the chatbot supports multiple languages, making it accessible to diverse user groups. With real-time response processing and adaptive learning, it continuously improves its effectiveness. This AI-driven solution bridges the gap between traditional therapy and automated assistance, offering secure, intelligent, and compassionate mental health support.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 25 Apr 2025 11:46 |
Last Modified: | 25 Apr 2025 11:46 |
URI: | https://eprint.ijisrt.org/id/eprint/566 |