S. VASUDEVA CHARY,CHANDRALA SHIVA PRIYA,GUNJI THILAK,CHEPURI SHIVA SAI,DASARI ANIL KUMAR 03 03 This paper presents a RealTime Student Attendance System based on Face Recognition using Artificial Intelligence AI to automate attendance management in educational institutions The proposed system employs advanced deep learning techniques particularly Convolutional Neural Networks CNNs to perform accurate face detection and recognition It combines facial recognition algorithms with a live video stream allowing the system to automatically identify students as they enter the classroom environment Initially the system detects faces using a reliable face detection method after which the recognized facial features are compared with previously stored student records in the database Once a match is confirmed the students attendance is recorded automatically providing a fast and efficient solution The integration of AI significantly improves the systems performance enabling high recognition accuracy even under different lighting conditions or in situations where slight facial occlusion occurs In addition the system incorporates security mechanisms to prevent impersonation or fraudulent attendance marking Designed to be easily integrated into existing institutional infrastructure the proposed framework provides a dependable and effective alternative to conventional manual attendance systems By automating the process the system reduces time consumption minimizes human errors and improves overall transparency in attendance management Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026