JAMIE (Just A Machine Infographic Enabler / Joint AI Multimedia Interaction Engine)

JAMIE is an AI-enhanced whiteboard system that acts as an intelligent "third guest" for podcasts and conversations. It provides real-time transcription, fact-checking, and dynamic visualizations while facilitating rich, data-driven discussions.

🌟 Features

• Real-Time Communication

  • Video/audio streaming via LiveKit
  • Real-time whiteboard collaboration
  • AI voice interjections for fact-checking

• AI-Powered Analysis

  • Speech-to-text transcription
  • Multi-agent system for fact-checking and research
  • Sentiment analysis and topic extraction
  • Dynamic chart and visualization generation

• Interactive Whiteboard

  • Multi-page canvas with rich media support
  • AI-generated visualizations and charts
  • Real-time collaboration features
  • Magazine-style layout options

🚀 Quick Start

Prerequisites

• Node.js (v16 or higher)
• MongoDB
• LiveKit account
• OpenAI API key

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/jamie.git
   cd jamie

2. Install dependencies:

   npm install
   cd client && npm install

3. Set up environment variables:

   cp .env.example .env
   # Edit .env with your API keys and configuration

4. Start the development servers:

   npm run dev

🔧 Configuration

Create a .env file with the following variables:

# Server Configuration
PORT=3000
NODE_ENV=development

# LiveKit Configuration
LIVEKIT_API_KEY=your_api_key
LIVEKIT_API_SECRET=your_api_secret
LIVEKIT_WS_URL=your_livekit_url

# OpenAI Configuration
OPENAI_API_KEY=your_openai_key

# MongoDB Configuration
MONGODB_URI=your_mongodb_uri

🏗️ Architecture

Components

1. Real-Time Communication Layer

   • LiveKit for video/audio streaming
   • WebSocket for real-time updates

2. AI Processing Pipeline

   • Speech-to-text processing
   • Multi-agent system for content analysis
   • Fact-checking and web search capabilities

3. Whiteboard Interface

   • React-based frontend
   • Real-time collaborative canvas
   • Dynamic visualization rendering

4. Backend Services

   • Express.js server
   • MongoDB for data persistence
   • WebSocket server for real-time updates

🛡️ Security Notes

• Never commit your .env file
• Keep your API keys secure
• The repository includes only example/template API keys
• Follow security best practices when deploying

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• OpenAI for GPT and Whisper APIs
• LiveKit for real-time communication
• MongoDB for database services
• All contributors and supporters

⚠️ Disclaimer

This is a work in progress. Features and documentation may change as the project evolves.