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This repository contains the source code for a face recognition-based attendance system implemented in Python. The system utilizes machine learning to recognize faces and record attendance. It offers a user-friendly interface built with Tkinter and provides features like checking attendance, marking attendance, and adding new candidates.

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VaishnavKondhalkar/Attendance_System_Using_Face_recognition

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Attendance_System_Using_Face_recognition

This repository contains the source code for a face recognition-based attendance system implemented in Python. The system utilizes machine learning to recognize faces and record attendance. It offers a user-friendly interface built with Tkinter and provides features like checking attendance, marking attendance, and adding new candidates.

Features

  • Real-time face recognition for attendance tracking.
  • User-friendly GUI using Tkinter.
  • Check attendance records.
  • Mark attendance with a single click.
  • Add new candidates to the recognition system.

Getting Started

  1. Clone the repository to your local machine.
  2. Ensure you have all the required Python libraries installed (OpenCV, face_recognition, etc.).
  3. Run the main Python script to start the system.
  4. Use the GUI to navigate through different options.

Contributing

We welcome contributions from the community. If you'd like to contribute, please follow these steps:

  1. Fork the repository.
  2. Create a new branch for your feature or bug fix.
  3. Make your changes and submit a pull request.
  4. Be sure to follow our Code of Conduct.

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

This repository contains the source code for a face recognition-based attendance system implemented in Python. The system utilizes machine learning to recognize faces and record attendance. It offers a user-friendly interface built with Tkinter and provides features like checking attendance, marking attendance, and adding new candidates.

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