Abstract: The main objective of this project is to build a face recognition-based attendance monitoring system for educational institutions to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that causes inaccurate and inefficient attendance taking. Many problems arise when the authority is unable to enforce the regulations that exist in the old system. The technology working behind will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Therefore, it is used to trace identity as the possibility for a face to deviate or be duplicated is low. In this project, face databases will be created to pump data into the recognizer algorithm. In this work, we also take help from the python pyttsx3 module to greet the organization’s members and wish them the best for the day. In this model there is no manual intervention; all the attendance is dumped automatically and stored in a particular folder for analysis. Keywords: Face recognition, CNN, Artificial Intelligence(AI), Face landmark estimation.