Attendance Management System Using Face Recognition

• What its purpose is:
  • Developed an attendance management program using OpenCV, featuring a face recognition system for easy daily student check-ins.
  • Designed a user-friendly interface with Tkinter to ensure seamless interaction.
  • Applied the Haar cascade algorithm for accurate face detection and the Local Binary Patterns Histogram (LBPH) algorithm for face recognition, facilitating seamless training of the stored dataset.
  • Upgraded the user experience by integrating features allowing students to view their attendance course-wise and providing detailed reports to teachers, including comprehensive information on student attendance percentages and related metrics.
• Technologies Used:
• Python, Numpy, Pandas, Pillow, OpenCV
• GitHub: Project Link