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/
• 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