Face Recognition Attendance System

Project Overview

I developed a face recognition-based attendance system with a graphical interface. The application utilizes a webcam to detect and recognize faces in real-time, logs attendance automatically into Excel sheets, and gives audio feedback for each detection. I was primarily responsible for designing the back-end logic, implementing facial recognition algorithms, and managing data integration and storage. The project was completed collaboratively with two other team members.

📚 Libraries & Tools Used

• OpenCV: Real-time image capture and face detection.
• face_recognition: Face identification and verification.
• pandas: Data manipulation and attendance records.
• uuid: Unique IDs for attendance entries.
• tkinter & customtkinter: GUI interface design.
• PIL (Pillow): Image handling and manipulation.
• os: File system and path operations.
• openpyxl: Excel file writing.
• numpy: Face encoding operations.
• datetime: Time-stamped attendance.
• pyttsx3: Audio feedback.
• GitHub: Version control.
• Pyhton: version 3.11.9