This project is designed to streamline and automate the attendance tracking process for teachers. The system utilizes face recognition technology, specifically the EigenFaceRecognizer model, to capture and analyze /images of students in the classroom. By employing this innovative approach, the project aims to eliminate manual efforts associated with traditional attendance management systems, providing a more efficient and accurate way to mark attendance through facial recognition.