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This project is a comprehensive face recognition-based attendance system for universities. It leverages OpenCV for face detection and recognition, Firebase for data storage, and Flask for the web interface. The system allows for student registration, face capture, and attendance tracking, providing a modern solution for attendance management.
This project uses FastAPI to deploy an attendance system integrated with face recognition. It captures live video from a webcam, detects faces, matches them with a pre-defined list of known faces, and marks attendance accordingly.
In this project, we are going to learn how to perform Facial recognition with high accuracy. and Attendance project that will use webcam to detect faces and record the attendance live in an excel sheet.
A website that enables students to mark the attandance for every particular subject and teachers can create the attandance event and approve the attandance. There is also a platform to view the daily attandance of all subjects.
Chalkpad-Attendance-Tracker is a Chrome extension that enhances your Chalkpad experience by providing additional features to help you track and manage your attendance. It will show the additional classes you need to attend to reach your target attendence or the amount of classes you can skip till your attendence drops below your target attendence.