Verifying that all employees have fulfilled their attendance targets may be a laborious and time-consuming process in large companies. To solve this problem, developers are creating an automated method that is both simple and effective in indicating presence. But evidence is required for this approach. Authentication and face recognition in real-time are the backbone of the Smart Presence System's many features. In this investigation, two distinct algorithms are utilized. A few examples of this approach include the Haar Cascade Classifier and the Convolutional Neural Network (CNN). A Haar Cascade Classifier was used to make this happen. A convolutional neural network (CNN) was invoked for this investigation. The process of recognizing a user's face all week long results in a new paper being generated every week. Authorized users are the only ones who can access this facial recognition and identification system. Individuals who have not yet registered can have their identities confirmed via a QR code identification method. There are several potential applications for user data that this technology could address. Within the confines of this system, users with and without accounts can live in harmony. Success rates of 99.99% were made possible with the use of the Haar Cascade Classifier.