AI Based Attendance System using Machine Learning

In our modern-digital age, monitoring attendance system in education institutions play a pivotal role for insuring accountability, optimizing resource utilization and enhancing efficiency. Methods that are being followed traditionally such as taking attendance Manually are prone to errors, very time-taking, causes lack of scalability. To over come this challenges, our research proposes an innovative AI based attendance monitoring system using Ml is designed to bring a revolutionary change in the way attendance is managed in Education System. This proposed system importance's "State of the art" computer vision techniques, Machine Learning Algorithms and modules of Deep Learning to automate the attendance tracking process. On Integrating cameras installed in universities with advance facial technology, which accurately identifies, record and stores the students attendance without requiring any type of manual intervention. Besides, the system incorporates intelligent features to deal with various scenarios such as occlusions, varying lighting conditions, and facial expressions, ensuring robust performance in real-world environments Through seamless integration with existing student data set and cloud-based platforms, this proposed solution facilitates centralized data management, empowering administrators with actionable insights for strategic decision-making and real time monitoring.