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Saumitra Kapoor
Saumitra Kapoor

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AI Therapist using Assembly AI

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

Initial Interface
The clean, welcoming interface that greets users

Interactive Session

Demo Screenshot
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

🤝 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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