Real-time transcription and analysis of meetings with speaker diarization, sentiment analysis, and objective tracking.

1. Install Python dependencies:

cd backend
pip install -r requirements.txt

2. Set up environment variables:

export DEEPGRAM_API_KEY="your_deepgram_api_key"
export SAMBANOVA_API_KEY="your_sambanova_api_key"

3. Start the uvicorn server:

cd backend
uvicorn main:app --reload --port 8000

The backend server must be running on port 8000 for the frontend to work properly.

1. Install Node.js dependencies:

cd frontend
npm install

2. Start the development server:

npm run dev

1. Make sure both servers are running:

   • Backend: uvicorn server on port 8000
   • Frontend: Next.js server on port 3000

2. Open your browser to http://localhost:3000

3. You can switch between Demo mode and Real-time mode using the button in the top right.

• Real-time transcription with speaker diarization
• Sentiment analysis per speaker
• Meeting objective tracking
• Information density analysis
• Fallacy detection
• Interactive visualizations

• Backend: FastAPI + Uvicorn
• Frontend: Next.js 13+ with App Router
• Real-time: WebSocket connections
• ML: Deepgram for transcription, SambaNova for analysis