Smart Attendance Management System for Students Engagement and Academic Growth using Machine Learning

The attendance is one of the important tasks for every organization or university to monitor the regularity of each student. The manual procedure is quite complex and sometime data may get lost. In this paper, we try to develop a smart attendance system using machine leaning (ML) that provides an effective solution to track the students in any organizations and schools. The system relies on the functionality of Raspberry Pi as crucial unit with camera enabled and Open CV for processing of image with facial identification algorithms that will process and store data. ML programming will help to manage all the stored attendance for analysis. Using this method the attendance can be increase up to 30-40% and this will increase the involvement of participants for academic growth and its development. It also improves the authenticity of each candidate and largely minimizes the fake attendance. This system will help to tackle the real-time challenges of identification of candidates and provide effective way to improve the student’s involvement and academic growth.