https://github.com/dynle/smart-attendance-system

Smart Attendance System uses face recognition. Built in python using OpenCV and face_recognition library.
https://github.com/dynle/smart-attendance-system

attendance-system opencv python

Last synced: 10 months ago
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Smart Attendance System uses face recognition. Built in python using OpenCV and face_recognition library.

• Host: GitHub
• URL: https://github.com/dynle/smart-attendance-system
• Owner: dynle
• Created: 2022-10-27T19:29:15.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-03-30T04:47:31.000Z (about 3 years ago)
• Last Synced: 2025-03-31T11:15:44.599Z (about 1 year ago)
• Topics: attendance-system, opencv, python
• Language: Python
• Homepage:
• Size: 151 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# smart-attendance-system

The objective of this project is to build an application that processes live video-stream of students entering their classroom and generate the database of students attending the class with time stamp. THe application retrieves the face recognition model file trained by KNN algorithm from Firebase to make it works. Users can select a specific class by choosing a day and class name list stored in Firebase.

## About The Project























## Built With

* OpenCV

* [face_recognition](https://github.com/ageitgey/face_recognition) Library

* Firebase

* PyQt5

## License

[MIT](https://choosealicense.com/licenses/mit/)