AI Therapist: A Voice-Enabled Mental Health Companion
This is a submission for the AssemblyAI Challenge: Sophisticated Speech-to-Text
🎯 Project Overview
In an era where mental health support is more crucial than ever, I embarked on creating an AI Therapist that leverages the power of AssemblyAI's cutting-edge Speech-to-Text technology. This application serves as a judgment-free space where users can verbally express their thoughts and feelings, receiving thoughtful responses powered by Google's Gemini AI.
🚀 Key Features
- Voice-Enabled Interaction: Users can speak naturally, sharing their thoughts and concerns
- High-Accuracy Transcription: Powered by AssemblyAI's Universal-2 model
- Intelligent Responses: Integration with Google's Gemini AI for contextual and empathetic responses
- User-Friendly Interface: Clean, intuitive design that encourages open expression
- Privacy-Focused: Safe space for personal thoughts and feelings
💡 Technical Implementation
Speech-to-Text Integration
The heart of this application lies in its integration with AssemblyAI's Universal-2 model. What sets this implementation apart is:
- Exceptional accuracy even with diverse accents
- Real-time transcription capabilities
- Robust error handling for seamless user experience
Architecture
The application follows a modern web architecture:
- Frontend: Next.js for robust client-side rendering
- AI Integration: Google's Gemini for response generation
- Speech Processing: AssemblyAI's Universal-2 model
- State Management: React hooks for efficient data flow
📸 Demo & Screenshots
Initial Interface
The clean, welcoming interface that greets users
Interactive Session
An example of the AI Therapist in action, showing the transcription and response flow
🛠️ Development Journey
Why This Project?
Mental health support should be accessible to everyone, anytime. This project was born from a vision to create a tool that allows people to:
- Express themselves without fear of judgment
- Gain clarity over troubling thoughts
- Access immediate emotional support
- Process feelings in a safe environment
Technical Challenges & Solutions
One of the biggest challenges in creating a voice-based mental health companion is ensuring accurate transcription of emotional expressions. AssemblyAI's Universal-2 model proved to be invaluable here, offering:
- Superior accuracy compared to other solutions
- Robust handling of emotional speech patterns
- Excellent performance with various accents
- Reliable real-time processing
🔗 Resources & Links
- GitHub Repository: kapoorsaumitra/assemblyaidevto
- Deployement Link: https://assemblyaidevto.vercel.app/
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Technology Stack:
- AssemblyAI Universal-2 Model
- Google Gemini AI
- Next.js
🤝 Contributing
Interested in contributing? The project is open-source and welcomes contributions! Check out the GitHub repository for more information on how to get involved.
Built with ❤️ using AssemblyAI's Universal-2 Model
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