Attendance Using Classroom Webcam Video

Overview: The Classroom Attendance System is designed to streamline student registration and automate the process of tracking attendance through webcam video analysis. Admins can easily register students, upload class videos, and automatically capture attendance from those videos, saving time and ensuring accuracy.

Project Features:

• Student Registration: Admins can register students by adding their name, student ID, phone number, email, and profile image in an easy-to-use interface.
• Attendance Tracking: Admins can upload classroom videos, and the system will detect and recognize students based on face recognition technology, automatically marking their attendance.
• Attendance Reports: After the attendance is captured, admins can download detailed reports in Excel or PDF format, showing which students were present, absent, or late.
• Face Recognition Technology: Uses OpenCV for face detection and recognition, ensuring accurate attendance tracking through webcam videos.
• Cross-Platform Support: Built with Flutter, the frontend works seamlessly across mobile and web platforms, allowing admins to manage attendance from any device.

Applications:

This system can be used in schools, colleges, and universities to automate attendance-taking. It reduces administrative workload and ensures that attendance data is accurate and easily accessible in digital formats.

Technology Used:

• Flutter: Cross-platform framework for building the frontend (mobile and web).
• Python: Backend development and video processing.
• OpenCV: Image processing and face detection for attendance tracking.
• Flask/Django: Web framework to power the backend of the application.
• SQLite/MySQL: Database management system for storing student and attendance data.
• Excel/PDF Libraries: Libraries to generate downloadable reports.