The primary goal of this paper is to develop a facial recognition-based attendance monitoring system for educational institutions in order to improve and modernise the existing system and make it more effective and efficient than it was in the past. Numerous ambiguities in the previous, outdated approach led to imprecise and ineffective attendance recording. When the authority is unable to enforce the regulations that were in place under the previous system, several issues occur. The facial recognition system will be the technology underlying this. One of the natural characteristics that may be used to identify a person specifically is their face. Since there is little chance of a face deviating or being replicated, it is utilised to trace identification. Face databases will be developed in this study in order to provide information into the recognizer algorithm. Then, in order to determine identification, faces will be compared to the database during the attendance-taking session. Upon identification, the attendance of that person will be automatically recorded, with the relevant data being stored in an Excel spreadsheet.

Face Recognition, Attendance System, Employees Using Python, Facial Recognition-Based Attendance Monitoring System For Educational Institutions, RFID (Radio Frequency Identification) Card System.