AI-Driven Mental Health Assistant

The book focuses on the development and innovation behind a Mental Health Assistant Chatbot designed to provide supportive contextually aware conversations for mental health care. This chatbot leverages Llama-2 an advanced AI model to offer compassionate sentiment-driven responses tailored to individual users' emotional states. It integrates sentiment analysis to adapt its tone dynamically and uses a CSV-based Q&A storage system to maintain conversational continuity and context. Featuring a Gradio-powered interface the chatbot enables real-time continuous interaction with users promoting mental well-being through thoughtful engagement. The book details the project's objectives methodology technical implementation challenges and research insights emphasizing its transformative role in mental health support and AI-driven therapy advancements.