Every industry is seeing constant technological advancement. We are of the opinion that educational institutions such as schools and colleges may make use of some of the new technologies in their day-to-day operations to make the academic workload more manageable. Facial recognition is one of the technologies that may help alleviate the challenges presented by the time-consuming nature of the process of collecting attendance, which also happens to be one of the most vital tasks. The purpose of this paper is to conduct research on face recognition by using an ensemble method in order to tally the attendance based on the identified faces present in a picture taken by any camera. An image of the students in the classroom will be taken here, and then it will be run through a facial recognition algorithm that is similar to Haar's. Once the students' faces have been identified, the image will be run through an ensembler, which will then record their presence in the attendance log. Open CV will extract the countenance from the photographs that are provided and will keep some of the variations that are present within the image data. While there are now quite a few methods available for the identification of faces, the primary emphasis of this study is placed on the facial recognition process utilising the AdaBoost algorithm. The accuracy of the monitoring system that has been presented is 98% when it is operating at peak efficiency.