Automated Attendance System Using Facial Recognition for Educational Institutions

Taking attendance in educational institutions has traditionally been a tedious and error-prone task. This paper introduces an Automated Attendance System that leverages facial recognition technology to make the process seamless and efficient. With this system, educators can simply take a photo of their class, upload it, and receive an instant attendance report. The system securely stores student details—such as photos, names, and roll numbers—in a MongoDB database. Using advanced facial recognition algorithms, it matches student faces with existing records, marking those present while identifying absentees. By automating this routine task, the system minimizes manual effort, enhances accuracy, and offers a scalable solution suited for modern educational environments.