Authors : S. Anusha; N. Hiranmayee; P Swetha Kamala; N Sagarika; P Roji Sushma; T Alekhya Sai Lakshmi; M Kavya Sri

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/y6h4xr6h

Scribd : https://tinyurl.com/y7vtur33

DOI : https://doi.org/10.38124/ijisrt/25apr831

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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.

Keywords : Llama Model, Groq API, Chromadb, NLP, Emotional Intelligence, Personalized AI Responses, Real-Time Interaction.

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