In all organizations, attendance monitoring is essential for monitoring student performance, and checking whether every student is present or not is not easy. Each organization takes attendance manually like calling with their registration numbers or student names and noting it in attendance records given by the school/college principal as a proof of attendance. While some consider student signature. These are the methodologies which are old, complex, and time consuming for students and teachers. This study explores how AI simplifies attendance monitoring. Several methods of attendance tracking are discussed in this study, including face detection, which may be used to identify students continually and regularly. Numerous additional approaches are also mentioned. The approaches used for Facial Biometric Framework attendance are covered in this study.