Python_Test_Projects

🎓 Face Recognition Attendance System

This is a Python-based Desktop Application for automated attendance using Face Recognition. It uses OpenCV, Tkinter GUI, MySQL database, and facial recognition via LBPH algorithm.

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📸 Features

✅ Face Detection using OpenCV
✅ Face Recognition using LBPH algorithm
✅ Real-time Webcam Support
✅ Attendance CSV Auto Generation
✅ MySQL Database Integration
✅ Beautiful Tkinter GUI
✅ Standalone .exe Desktop App (via cx_Freeze)

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🛠️ Technologies Used

• Python 3.12.5
• OpenCV (opencv-contrib-python)
• MySQL Connector (mysql-connector-python)
• Pillow (Image handling)
• NumPy
• Tkinter (GUI)
• cx_Freeze (to build .exe)

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📁 Project Folder Structure

FaceRecognitionApp/ │ ├── Face_Recognition_Software.py # Main application script ├── setup.py # cx_Freeze build script ├── clf.xml # Trained face recognition model ├── haarcascade_frontalface_default.xml # Face detection model ├── face_recognition_icon.ico # Application icon │ ├── Images_GUI/ # GUI images (buttons, banners, backgrounds) ├── data_img/ # Trained student face images ├── attendance_report/ # Auto-generated attendance CSV files ├── build/ # Contains final .exe (after build) └── pycache/ # (auto-generated)

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pip install -r requirements.txt Run the app:

python Face_Recognition_Software.py ⚠️ Make sure MySQL is installed & running, and database/table are properly created.

🧊 How to Build Desktop .exe (Optional) Install cx-Freeze:

pip install cx-Freeze Build app:

python setup.py build Go to build/exe.win-amd64-3.12/ and run Face_Recognition_Software.exe