Face Recognition Attendance System

Face Recognition Attendance System

Overview

This project is an AI-driven attendance system that automates attendance tracking using face recognition. Users' faces are detected and matched against registered profiles, and attendance is recorded automatically. The system allows downloading attendance lists and user details in Excel format for easy record-keeping.

Features

• Face Recognition: Uses AI to detect and recognize faces for attendance marking.
• Automated Attendance Recording: Only one attendance entry per user per day.
• Admin Panel: Manage users, attendance records, and export data.
• Excel Export: Download attendance sheets and user details as Excel files.
• Daily Attendance Overview: View and filter attendance records for a selected day.
• User Dashboard: Users can check their attendance performance and history.

Tech Stack

• Frontend: Next.js, TailwindCSS
• Backend: Flask
• AI & Machine Learning: TensorFlow, OpenCV for face recognition
• Database: PostgreSQL
• File Handling: Pandas and other Excel handling libraries for generating downloadable Excel files

Usage

1. Admin registers users with names, emails, and unique IDs.
2. Users upload or capture their images for face recognition.
3. The system scans and marks present users automatically.
4. Attendance records can be viewed, filtered, and exported as Excel files.

This project enhances efficiency and eliminates manual attendance marking by leveraging AI and automation.