A face recognition-based automatic attendance scheme requires the deployment of a system to address the shortcomings of traditional manual attendance. It can also be used as an access control system by registering an organization's personnel or students with their faces, and then recognizing them by taking their photos with faces and marking their attendance in the database. The face recognition module is built upon the dataset "labelled faces in the wild" which got an accuracy 99%. While observing the face recognizer it is concluded that the less number of faces can be recognized very accurately and in less time. Open-CV is an open-source image processing package that can be used in a variety of applications. Flask is a python-based web application micro-framework enabling easy app management. The system is built using the Python Open-CV module and a Flask web application. It begins by detecting faces in images captured from a web camera and comparing them to images of pupils who have previously been enrolled. New users or students can register by providing accurate information and a photograph. A member's existing information can be managed by an administrator. The web application may retrieve detailed attendance reports for a class on a certain date from the database. For quick access, this system will combine face recognition technology with an automated web application system.