Designed and developed a Face Recognition System to automate attendance and user identification. Users are enrolled with their face data, and the system accurately recognizes individuals for attendance, access, or verification purposes. The platform is scalable and can handle multiple user roles.

Key features:

Face enrollment and recognition using TensorFlow and face-api.js

Multi-role support (admin, staff, students/users)

Web-based dashboard for monitoring attendance and verification

Real-time notifications and reporting

Secure authentication and role-based access

Deep learning: TensorFlow + face-api.js integration

Deployment, testing, and system maintenance