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Face Recognition Attendance System (Django)

A robust web application that leverages face recognition technology for automated attendance tracking built with Django. This project streamlines the attendance process in educational institutions, corporate offices, or any organization looking for a secure and efficient way to track presence.

Features

  • Automated Attendance: Automatically mark attendance by recognizing faces using advanced algorithms.
  • User Management: Secure authentication and authorization using Django’s built-in user management.
  • Real-Time Processing: Process video streams in real-time to detect and recognize faces.
  • Reporting: Generate comprehensive attendance reports.
  • Responsive UI: User-friendly interface designed for ease of use across devices.

Technologies Used

  • Backend: Django
  • Face Recognition: face_recognition library, OpenCV
  • Frontend: HTML5, CSS3, JavaScript (or a framework of your choice)
  • Database: SQLite / PostgreSQL (configurable via Django settings)
  • Others: Bootstrap (for responsive design), REST Framework (for API endpoints if needed)

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