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https://github.com/zackriya-solutions/meeting-minutes
An open source Live Ai based meeting minutes generator that can completely run in your PC.
https://github.com/zackriya-solutions/meeting-minutes
ai automation cross-platform linux live llm mac macos-app meeting-minutes meeting-notes recorder rust whisper whisper-cpp windows
Last synced: 3 days ago
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An open source Live Ai based meeting minutes generator that can completely run in your PC.
- Host: GitHub
- URL: https://github.com/zackriya-solutions/meeting-minutes
- Owner: Zackriya-Solutions
- Created: 2024-12-26T12:52:14.000Z (12 days ago)
- Default Branch: main
- Last Pushed: 2025-01-02T14:27:05.000Z (5 days ago)
- Last Synced: 2025-01-02T15:27:44.505Z (5 days ago)
- Topics: ai, automation, cross-platform, linux, live, llm, mac, macos-app, meeting-minutes, meeting-notes, recorder, rust, whisper, whisper-cpp, windows
- Language: TypeScript
- Homepage:
- Size: 1.47 MB
- Stars: 37
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Meeting Minutes - AI-Powered Meeting Assistant
An AI-powered meeting assistant that captures live meeting audio, transcribes it in real-time, and generates summaries while ensuring user privacy. Perfect for teams who want to focus on discussions while automatically capturing and organizing meeting content.
## Why?
While there are many meeting transcription tools available, this solution stands out by offering:
- **Privacy First**: All processing happens locally on your device
- **Cost Effective**: Uses open-source AI models instead of expensive APIs
- **Flexible**: Works offline, supports multiple meeting platforms
- **Customizable**: Self-host and modify for your specific needs
- **Intelligent**: Built-in knowledge graph for semantic search across meetings
## Features
✅ Modern, responsive UI with real-time updates
✅ Export to Markdown/PDF
🚧 Real-time audio capture using SoundDevice
🚧 Real-time audio visualization
🚧 Automatic meeting detection (Zoom, Google Meet, Teams)
🚧 Live audio transcription using OpenAI's Whisper
🚧 Real-time display of transcription
🚧 Post-meeting summarization
🚧 Local processing for privacy
## System Architecture
The application is built with a modern stack focusing on performance and user privacy. For detailed architecture documentation and diagrams, see [Architecture Documentation](docs/architecture.md).
Key Components:
- **Frontend** (Electron JS + Next JS)
- User interface and real-time updates
- Cross-platform desktop application
- WebSocket communication
- **Backend** (FastAPI)
- Audio processing pipeline
- AI integration and coordination
- Database operations
- **AI Engine** (Whisper + Qwen/Llama 3.2)
- Real-time transcription
- Meeting summarization
- Natural language processing
- **Storage**
- Local SQLite database for secure data storage
- Knowledge Graph/VectorDB for semantic search
- **Integration**
- Virtual Audio Driver for system-level audio capture
- Ollama with Agentic Tools for extended AI capabilities
## Prerequisites
- Node.js >= 18
- Python >= 3.9
- Virtual audio driver:
- macOS: BlackHole (recommended)
- Windows: Virtual Audio Cable
- Linux: PulseAudio
## Setup Instructions
### 1. Frontend Setup
```bash
# Navigate to frontend directory
cd frontend
# Install dependencies
npm install
# Start development server (Terminal 1)
npm run dev
# Start Electron app (Terminal 2)
npm start
```
### 2. Backend Setup
```bash
# Create and activate virtual environment
python -m venv venv
source venv/bin/activate # Windows: .\venv\Scripts\activate
# Navigate to backend directory
cd backend
# Install dependencies
pip install -r requirements.txt
# Start backend server
cd app
uvicorn main:app --reload
```
### 3. Audio Setup
1. Install the virtual audio driver for your OS
2. Configure system audio to route through the virtual device
3. Verify audio routing in the application settings
## Development Guidelines
- Follow the established project structure
- Write tests for new features
- Document API changes
- Use type hints in Python code
- Follow ESLint configuration for JavaScript/TypeScript
## Contributing
1. Fork the repository
2. Create a feature branch
3. Submit a pull request
## License
MIT License - Feel free to use this project for your own purposes.
Last updated: December 26, 2024