Published Paper Details:

Attendance tracking is a critical process for schools, universities, and businesses to ensure that employees and students are attending classes or meetings regularly. Traditional attendance tracking methods can be time-consuming and prone to errors. The Internet of Things (IoT) provides a platform for the development of innovative solutions that can improve attendance tracking. This project presents an overview of an IoT-based RFID Attendance System (RAS) that utilizes various sensors to collect data on student or employee identification and location. The system uses radio-frequency identification (RFID) technology to automatically record attendance, eliminating the need for manual tracking. The data is then analyzed by algorithms to provide insights into attendance patterns and optimize attendance management. The system also incorporates machine learning techniques to continuously improve its attendance tracking algorithms. The use of this technology has the potential to significantly reduce administrative workloads, minimize errors, and improve attendance management efficiency. Additionally, the system is easily scalable, making it ideal for use in both small and large organizations. Overall, the IoT-based RAS presents a promising future for efficient and accurate attendance tracking.