AI Attendance Management

A web-based face attendance system that uses the webcam to capture a real-time image, recognizes faces using pre-saved encodings, and logs attendance with timestamps into a CSV file.

📦 Features

• Real-time webcam capture via browser
• Face recognition using face_recognition library
• Attendance logging to every records of the recognition.
• Simple Flask-based web interface

📁 Project Structure

Face-Attendance-System/
├── app.py                   # Flask application
├── face_encodings.pkl       # Pre-generated face encodings
├── Students_images/         # Folder containing student face images
├── templates/
│   └── index.html           # HTML interface
├── generate_encodings.py    # Script to generate face_encodings.pkl
└── README.md                # Project documentation

🧠 How It Works

1. Training Phase:

   • Face images (named as name_#.jpg) are stored in Students_image/.
   • face_encodings.pkl is generated using a script that extracts encodings and saves them.

2. Recognition Phase:

   • User captures an image from webcam on the web interface.
   • Image is sent to the Flask server.
   • Server detects faces, matches with known encodings.
   • If matched, the name and timestamp are logged in csv file.

🚀 Getting Started

1. Clone the Repository

git clone https://github.com/itz-Mayank/AI_Attendance_Management.git
cd AI_Attendance_Management

2. Install Dependencies

Make sure you have Python 3.7+ and pip installed.

pip install flask face_recognition opencv-python joblib

3. Prepare Face Encodings

Place your labeled images in the Students_images/ folder. Then run:

python generate_encodings.py

This will generate face_encodings.pkl.

4. Run the Flask App

python app.py

Open http://127.0.0.1:5000 in your browser.

✅ Attendance Output

Attendance will be saved in csv file as a record like :

Name,Timestamp
john,2025-04-20 10:05:32
mary,2025-04-20 10:06:45

📸 Frontend Preview

The interface includes:

• Live webcam stream
• "Capture & Recognize" button
• Result display with recognized names

🛠 Technologies Used

• Python
• Flask
• OpenCV
• face_recognition
• HTML5 / JavaScript

🧩 Future Improvements

• Add daily duplicate check for attendance
• Admin dashboard to view attendance logs
• Notification system for late or absent entries
• Face registration via web interface

🤝 Contributing

Feel free to fork this repo, submit issues or PRs. All contributions are welcome!

📄 License

MIT License