Smart Attendance Tracking System Using Face Recognition

Computer Engineering

The "Smart Attendance Tracking System" is an innovative project that automates attendance management in educational institutions or anywhere where attendances are getting marked on a daily basis. This project uses facial recognition powered by Machine Learning and integrates with React for the frontend and Node.js with express.js library for the backend. Cameras installed in classrooms capture the real time video in which every student can be tracked and mark their attendance in a database after recognising the student's face at the server using ML. For exceptional cases, teachers can manually update attendance. Students can monitor their attendance through the frontend. This project improves accuracy, efficiency, and accessibility in attendance tracking, revolutionizing traditional methods. Key Features of the Smart Attendance Tracking System: Facial Recognition for Automated Attendance: The system employs advanced facial recognition technology to automatically track and record student's attendance as they enter the classroom, eliminating the need for manual attendance taking. Exception Handling: In cases where facial recognition may not work, such as when a student is on sick leave or if the camera fails to recognize a student, teachers have the ability to manually mark attendance, ensuring accuracy and completeness in attendance records.

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