Revolutionizing student engagement through AI-powered face recognition and machine learning.
Register Now Check Dropout RiskThis web application is developed as part of a postgraduate research project at the University of Chester. It combines real-time computer vision (OpenCV) for attendance with Random Forest-based machine learning for student dropout risk prediction.
By modernizing how student presence and risk factors are tracked, it enables educational institutions to be more data-driven and proactive in supporting students.
“Attendance has never been this seamless. Just walk in and you’re marked present!”
“I could see my dropout risk score and it helped me change my study habits early.”