AI-Driven Mental Health Assistant
Enhancing Emotional Wellbeing with Llama-2 and Sentiment Analysis
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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, promotin...
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.
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