Abstract
Abstract: This paper presents the development of a Smart Attendance Management System (SAMS) designed to automate and streamline the process of tracking attendance in educational institutions and workplaces. The proposed system utilizes advanced technologies such as facial recognition and QR code to accurately and efficiently monitor attendance. By eliminating the need for manual entry, the system reduces human error, saves time, and enhances data accuracy. The SAMS also integrates with databases and analytics tools to provide real-time reporting and insights, helping institutions make data-driven decisions. The study outlines the system's architecture, implementation, and potential impact, demonstrating its ability to enhance operational efficiency and improve user experience in diverse environments
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