Tracking attendance is an essential duty in most educational and organizational settings, but it is often unreliable and performed poorly. Our Face Recognition-Based Attendance Monitoring System provides a reliable and automated solution to this problem and with the help of OpenCV for facial recognition and detection, and Tkinter for the graphical user interface, our solution offers administrators an easy-to-use platform for managing attendance. The system starts by taking pictures of people’s faces in order to register them, then uses the Haar cascade classifier to detect faces. By using the LBPH (Local Binary Patterns Histograms) Face Recognizer, the system gains the ability to recognize people by their facial features. Users are allowed to create a strong password at registration in order to manage access and maintain system integrity. Administrators can quickly add, edit, or remove employees or students.