一个基于opencv、dilb的员工人脸识别考勤系统

HRM is a Modern and responsive Human Resource Management System. It is developed by PHP and Laravel framework. It is designed and developed for office management and company employee management.

基于人脸识别的员工考勤系统

Telegram bot + mini app for institute management - attendance tracking with QR codes, tasks with file submissions, notes & announcements, role-based users, and database sync/backup. All files stored in a private Telegram group. Commands only, no noise.

Android Application that allows students to submit their attendance if connected to the University's WiFi & enables Faculty members to start and stop an attendance session & export attendance data in Excel sheet.

Traditional attendance systems are often plagued by issues such as buddy punching, time theft, and data tampering. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

A lightweight AI-based system for automated facial attendance and real-time sentiment analysis using expression recognition. Designed for educational environments with offline capability and low computational requirements.

InstaMatch is a facial recognition attendance system using OpenCV and LBPH. It ensures high accuracy with real-time processing, multi-angle detection, and data augmentation. Attendance is stored in CSV or MongoDB, with features like adaptive thresholds and robust error handling.