Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: The Proximity-Driven Attendance Management System is a novel approach to attendance tracking that aligns with the United Nations’ Sustainable Development Goal 4 (Quality Education). The ...

Abstract: Managing attendance in educational institutions is often a time-consuming and error-prone task, with traditional methods like roll calls or sign-in sheets being inefficient and susceptible ...

A real-time face recognition-based attendance system built with Flask, OpenCV, and face_recognition. This project enables automatic attendance marking, user management, live monitoring, and ...

The Face Recognition Attendance System revolutionizes traditional attendance tracking by implementing contactless, AI-powered facial recognition technology. This comprehensive solution eliminates ...