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#
student-attendance-system
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9 public repositories
matching this topic...
The Face Recognition Based Attendance System uses face recognition technology to automate student attendance tracking in educational institutions. It captures live video or images, matches them against a registered database of faces, and marks attendance in real-time.
A simple, student-only alternative to Ezygo
A real-time face recognition system for automated student attendance tracking using Python, OpenCV, and AI, with optional API integration for smart campus environments.
React.JS-Student-Attendance-App-useContexts
Student Attendance Tracking System || Languages Used: PHP || PHP version: 7.4 || Type: Web Application || Full Project
React-useState-Student-Attendance-App-useComponents
A face recognition-based student attendance system designed for Alva’s Institute, ensuring accurate, contactless, and efficient daily tracking.
A lightweight yet powerful Java Swing application designed to record students’ daily attendance and simplify management tasks. It is built as a single-file solution with a clean, professional UI/UX design.
Real-time object detection and direction-based tracking system to monitor student entry and exit in lecture halls using YOLO, OpenCV, and Shapely — includes CSV logging and optional API integration.
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