https://github.com/soumyamakkar/vmeet
Created and deployed a MERN stack video conferencing application. Implemented WebRTC using videoSDK API. Integrated with chat and screen sharing facilities.
https://github.com/soumyamakkar/vmeet
javascript mern mern-project socket-io video-streaming videosdk webrtc
Last synced: about 2 months ago
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Created and deployed a MERN stack video conferencing application. Implemented WebRTC using videoSDK API. Integrated with chat and screen sharing facilities.
- Host: GitHub
- URL: https://github.com/soumyamakkar/vmeet
- Owner: soumyamakkar
- Created: 2024-11-23T11:25:00.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-17T12:24:34.000Z (over 1 year ago)
- Last Synced: 2025-04-04T19:22:07.322Z (about 1 year ago)
- Topics: javascript, mern, mern-project, socket-io, video-streaming, videosdk, webrtc
- Language: JavaScript
- Homepage: https://vmeetfrontend.onrender.com/
- Size: 1.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 📹 Video Calling Application with Face Detection
    
This is a video calling application specifically designed for educational institutions. It provides a platform for conducting online classes with features like face detection-based attendance tracking, user authentication, and role-based access control.
Dummy Credentials:
email:soumyaamakkar@gmail.com
password:12345678
## Features
- User authentication: Users can sign up and log in to the application using their credentials.
- Role-based access control: Users can have either a "Teacher" or "Student" role, which determines their permissions within the application.
- Video calling: Users can join or create video meetings based on their role. Teachers can create and manage meetings, while students can join existing meetings.
- Face detection-based attendance tracking: The application uses the TinyYOLOv2 face detection model to track the presence of participants during the meeting. It calculates the attendance score based on the duration of face detection and the total meeting duration.
- Attendance monitoring: The application provides an attendance monitoring system that grants attendance to students if their attendance score exceeds a predefined threshold (e.g., 50%).
- Meeting summary: After leaving the meeting, users can view their attendance status, attendance score, and other relevant meeting details.
## Technologies Used
- Frontend: ReactJS, Material-UI
- Backend: Node.js, Express.js
- Database: MongoDB
- Video SDK: VideoSDK
- Face Detection: TinyYOLOv2
- WebSocket: Socket.IO
## Screenshots

_Homescreen_

_Sign In Screen_

_Sign Up Screen_

_Meeting Summary Screen_
## Contributing
Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.
## Contact
For any inquiries or questions, please contact [soumyaamakkar@gmail.com](mailto:soumyaamakkar@gmail.com).