Facial Recognition Attendance System

Attendance management within the institution is one of its critical practices that ensure students understand what being accountable for education means. Conventionally, methods such as manual attendance or signature-based systems often prove faulty, are ineffective, and are prone to several errors. To solve some of these problems, this work makes available a facial recognition system based on modern computer vision and machine learning algorithmic with a conflict-free and non- disruptive solution about attendance through recognizing students' faces. It includes facilities like a search blind function to trace out the absent or abnormal attendance of a student's presence and automatic school notification when students are absent. Attendance has now incorporated restrictions for inculcation of punctuality and disciplinarians among students. It has included graphic boards that will reveal various analyses of attendance and trends. All those have email integration that goes with continuous notification, ensuring that the right knowledge is shared regarding their involvement and problems surfacing. It aims at encouraging more participation. The proposed system is an improvement that increases participation and enhances a better education system.