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| title: Face Recognition Attendance System | |
| emoji: 👤 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| # Face Recognition Attendance System | |
| An advanced face recognition system for attendance management using DeepFace and OpenCV. | |
| ## Features | |
| - **Student & Teacher Registration** with face capture | |
| - **Face Recognition Login** | |
| - **Attendance Marking** with liveness detection | |
| - **Real-time Analytics** and metrics dashboard | |
| - **MongoDB Integration** for data storage | |
| ## Usage | |
| 1. Register as a student/teacher with face capture | |
| 2. Login using face recognition or credentials | |
| 3. Mark attendance with live face verification | |
| 4. View attendance records and analytics | |
| ## Technology Stack | |
| - **Backend**: Flask, Python | |
| - **Face Recognition**: DeepFace, OpenCV | |
| - **Database**: MongoDB Atlas | |
| - **Frontend**: HTML, CSS, JavaScript | |
| - **Deployment**: Hugging Face Spaces (Docker) | |
| ## Environment Variables | |
| Set these in your Hugging Face Space settings: | |
| - `SECRET_KEY`: Your secret key | |
| - `MONGO_URI`: MongoDB Atlas connection string | |
| - `PORT`: 7860 (default) | |
| ## Local Development | |