This project focused on developing a robust, AI-driven Facial Recognition Attendance System designed to replace manual and proxy-prone tracking methods.

From a technical standpoint, the application leverages advanced Computer Vision and Machine Learning algorithms to detect, analyze, and verify human faces against a secure database in real-time. The system is architected to integrate seamlessly with existing HR and Learning Management Systems (LMS), ensuring a fully automated, contactless, and secure attendance workflow for large-scale deployments.

The solution can be deployed across a variety of use cases such as corporate environments, educational institutions, and large-scale events. It easily integrates into existing HR management or Learning Management Systems for real-time attendance data and reporting.