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AttendaBot

Face Recognition Attendance System for Students with Real-Time Database

Project Description

AttendaBot is a Python-based attendance system that uses face recognition to automatically mark students' attendance. By leveraging OpenCV's computer vision methods and Firebase's real-time database capabilities, this project simplifies the attendance process, providing a fast and secure solution for educational institutions.

Features

  • Face Recognition: Automatically detects and recognizes student faces using OpenCV.
  • Real-Time Database: Attendance data is updated instantly in the Firebase Realtime Database.
  • Python Integration: The system's core logic is written in Python, ensuring flexibility and ease of use.
  • Firebase Authentication: Secures user data and ensures authorized access.

Technologies Used

  • Python: Main programming language.
  • OpenCV (cv2): For face detection and recognition.
  • Firebase Realtime Database: For storing attendance records in real time.
  • Firebase Authentication: For managing and securing access.
  • Numpy, Pillow: For image processing and manipulation.