AI for Mental Health Support
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.
Authors
- S. Anusha
- Lakshmi Thangavelu (ORCID: https://orcid.org/0000-0001-5662-1410)
- N. Hiranmayee
- P Swetha Kamala
- N Sagarika
- P Roji Sushma
- M Kavya Sri
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.38124/ijisrt/25apr831
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00