Enhanced Video Conferencing App

A cutting-edge video conferencing application leveraging WebRTC, Firebase, and TensorFlow.js for real-time video enhancement.

🌟 Features

• Real-time 1-to-1 video calls using WebRTC
• Firebase Firestore for signaling and call management
• TensorFlow.js integration for on-the-fly video enhancement
• Responsive design with Bootstrap
• Email notification system for sharing call IDs

🚀 Technologies Used

• WebRTC
• Firebase (Firestore)
• TensorFlow.js
• JavaScript (ES6+)
• HTML5 & CSS3
• Bootstrap
• EmailJS

📋 Prerequisites

• Node.js (v14 or later recommended)
• npm (usually comes with Node.js)
• A Firebase account and project

🛠 Installation & Setup

1. Clone the repository:

   git clone https://github.com/sohitrharma/enhanced-video-conferencing-app.git
   cd enhanced-video-conferencing-app

2. Install dependencies:

    npm install
   

3. Update Firebase configuration: Open main.js and replace the firebaseConfig object with your own Firebase project details.

4. Set up EmailJS (optional): If you want to use the email notification feature, sign up at EmailJS and update the initialization in index.html.

5. Run the development server:

    npm run dev
   

🖥 Usage

1. Open the application in your browser.
2. Click "Start Webcam" to initialize your camera.
3. Click "Create Call" to generate a new call ID.
4. Share the call ID with another user, or enter a received call ID and click "Answer".
5. To end the call, click "Hangup".

🧠 Video Enhancement

This app uses TensorFlow.js to apply real-time enhancements to the video stream. The enhancement model is loaded from model.json and processes video frames to improve quality.

📧 Email Notifications

Users can share call IDs via email directly from the app interface. This feature uses EmailJS to send emails without a backend server.

🔧 Configuration

• firebase.json: Contains Firebase hosting configuration.
• model.json: Defines the TensorFlow.js model for video enhancement.

🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check issues page.

📄 License

This project is MIT licensed.

👤 Author

Rohit Sharma

• GitHub: @sohitrharma
• LinkedIn: @rohitsanjaysharma

🙏 Acknowledgements

• WebRTC
• Firebase
• TensorFlow.js
• EmailJS