Abstract
Attendance tracking is a crucial aspect of educational institutions, yet the traditional manual methods are time-consuming and error-prone. This project presents an innovative solution to this problem through the development of an automated attendance system. Utilizing advanced technologies such as face detection and optical character recognition (OCR), this system aims to streamline the attendance tracking process in schools and colleges. By automatically detecting student faces and extracting roll numbers from stickers affixed to the left side of their faces, the system eliminates the need for manual intervention, thereby improving efficiency and accuracy. Additionally, a user-friendly GUI created using customtkinter in Python enhances the system's usability and accessibility. Attendance records are automatically stored in an Excel file, allowing for easy tracking and analysis by educators.
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