Project Description:

The Biometric Attendance System is a secure and efficient solution to track employee or student attendance using fingerprint, face recognition, or iris scan. This project eliminates manual entry errors and prevents proxy attendance. It’s widely applicable in schools, colleges, offices, factories, and remote working setups.

The system stores biometric data securely and marks attendance in real-time, linking it with a web-based or desktop dashboard for administration, analytics, and reporting.

Technologies Used:

• Backend: PHP / Java / Node.js

• Frontend: HTML, CSS, Bootstrap, JavaScript

• Database: MySQL / MongoDB

• Biometric Integration:

  • Fingerprint sensor (e.g., R305, GT511C3)

  • Face recognition (OpenCV + Python or JavaCV)

• Optional IoT Integration: Raspberry Pi or Arduino for hardware-based systems

Core Features:

1. Biometric Authentication:

   • Users scan fingerprints or faces for identity verification.

   • Only registered users can mark attendance.

2. Attendance Marking:

   • Records time and date when attendance is marked.

   • Prevents duplicate entries and buddy punching.

3. Admin Dashboard:

   • Web interface for administrators to manage users, view reports, and configure settings.

4. Report Generation:

   • Daily, weekly, and monthly attendance reports in downloadable formats (PDF/CSV).

5. Notifications (Optional):

   • SMS/email alerts for late or absent users.

6. User Management:

   • Add, update, or delete student/employee records along with biometric data.

7. Secure Data Storage:

   • Fingerprint/face templates are encrypted and stored in the database.