AI-Powered Student Monitoring & Smart Attendance System

Mr. SVS Sainadh1*, Mr. Y Rambabu2, Mr. K Hareesh3, Mrs. J Mohini Mythri4, Mr. R TirumalaKumar5
Department of Computer Science and Engineering Visakha Institute of Engineering & Technology, Narava,Visakhapatnam Andhra Pradesh, India

M Rajeswari, M Tech

Assistant Professor,

CSE department, Visakha Institute of Engineering & Technology.

Abstract: Proctor Nova is a computer vision based, AIpowered automated attendance management system that aims to deliver precise, real time, and touchless student presence tracking in academic settings. Conventional methods of attendance tracking, including roll calls and RFID, may take a considerable amount of time and may alsoinvolve integrity problems. In this paper, we propose a  computer vision based intelligent attendance management system called Proctor Nova, which uses deep learningtechniques to accurately detect and record student  attendance.The full stack tech development of the Proctor Nova system allows for seamless and simple communication between thefront end and back end, hence facilitating real-time  attendance monitoring, storage, and retrieval. Furthermore,the optimized recognition process of the Proctor Novasystem is capable of detecting and recognizing multiple  students simultaneously, even under varying illumination and position conditions.