AI POWERED FACE RECOGNITION ATTENDANCE SYSTEM

Inspiration

This project was inspired by the problem I faced in college where attendance was often taken incorrectly, causing students to lose marks. I wanted to create a system that marks attendance automatically and accurately.

What it does

Class Eye uses live CCTV video to detect faces and mark attendance automatically. It eliminates manual work, prevents proxy attendance, and provides real-time attendance reports.

How we built it

We used a CCTV camera to capture video, extracted frames, converted them to Base44, and processed them with an AI face recognition model. The backend stores attendance in a secure database, and the admin dashboard shows real-time results.

Challenges we ran into

Detecting faces accurately in different lighting conditions Handling multiple faces in a frame Ensuring smooth, real-time processing without delays

Accomplishments that we're proud of

Fully automatic attendance system with zero manual intervention High accuracy in face recognition Real-time dashboard and attendance logs

What we learned

How AI face recognition works with live video Working with Base44 for faster data transfer Integrating frontend, backend, and database for a complete system Problem-solving and handling real-world challenges

What's next for AI POWERED FACE RECOGNITION ATTENDANCE SYSTEM

Add multi-camera support for large classrooms or offices Implement alerts for unknown faces Improve model accuracy under poor lighting Add analytics and reports for administrators

Built With

• base44