Mindywell AI Mental Health Chatbot

Mindywell is an AI-driven mental health platform designed to provide personalized support to users through interactive chat. It leverages OpenAI models for natural language processing and Pinecone for vector database fine-tuning to improve response relevance over time.

Video

Explore the GitHub repository to dive deeper into the codebase.

Features

• Conversational AI: Users can ask questions related to mental health, and the chatbot provides responses based on fine-tuned AI models.
• Chat History: Chats are saved for future reference, allowing users to revisit past conversations.
• Text-to-Speech (TTS): The chatbot can read responses aloud to users, enhancing accessibility.
• Follow-Up Suggestions: After each conversation, the bot provides personalized mental health tips and follow-up suggestions to support the user's well-being.

Technologies

• React: A JavaScript library for building user interfaces.
• Express: A back-end framework for building APIs and handling server-side logic.
• Docker: A platform for developing, shipping, and running applications in isolated containers.
• OpenAI: AI models for natural language processing and generating intelligent responses.
• Pinecone: A vector database for optimizing AI performance through fine-tuning.

Conclusion

Mindywell showcases how AI, when combined with modern web technologies, can create a valuable tool for mental health support. The integration of AI, vector databases, and intuitive user interaction provides users with meaningful conversations and suggestions that promote mental wellness.