P. Charithavya, M. Nikhitha, T. Ajay, K. Abhilash, Mr. Jahangeer Pasha 02 08 The management of the attendance can be a great burden on the teachers if it is done by hand To resolve this problem smart and auto attendance management system is being utilized But authentication is an important issue in this system The smart attendance system is generally executed with the help of biometrics Face recognition is one of the biometric methods to improve thissystem Being a prime feature of biometric verification facial recognition is being used enormously in several such applications like video monitoring and CCTV footage system an interaction between computer humans and access systems present indoors and network security By utilizing this framework the problem of proxies and students being marked present even though they are not physically present can easily be solved The main implementation steps used in this type of system are face detection and recognizing the detected face This paper proposes a model for implementing an automated attendance management system for students of a class by making use of face recognition technique by using Eigenface values Principle Component Analysis PCA and Convolutional Neural Network CNN After these the connection of recognized faces ought to be conceivable by comparing with the database containing students faces This model will be a successful technique to manage the attendance and records of students Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026