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METandance: A Smart Classroom Management And Analysis

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International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 05 | May 2022

www.irjet.net

e-ISSN: 2395-0056 p-ISSN: 2395-0072

METandance: A Smart Classroom Management And Analysis Ketan Deore1, Mayur Chaudhari2, Kunal Kharalkar3, Varun Ahire4 1,2,3,4Student,

MET’s Institute of Engineering, Nashik 422003, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - All educational systems are moving towards

automate the process, and reduce human errors and Provides transparency between teacher and students.

digital media nowadays. Education has been the most affected by Covid, but they have come up with an online class system as a response, therefore there was a need for a digital attendance solution to track students from remote locations. In our digital age, face recognition systems are used in almost every business. Face recognition is one of the most extensively used biometrics. It offers several benefits, including identity, authentication, and security. The goal of our suggested system is to speed up classroom tasks by marking the student attendance by detecting and recognizing the registered faces of students. For starters, the faculty must upload 100 pictures captured by the camera of registered students for attendance updation and be able to take attendance of the right student’s. Additionally, our suggested system allows teachers to publish academic notices and students to provide feedback and leave applications. The paper explains the implementation details of the proposed system, a new method for attendance marking using facial recognition with the integration of the Django framework.

Our Proposed system is for students and teachers to mark the attendance using the face recognition so Admin can add students details for registration and students will mark attendance for In-time as well as for Out-time, Also it will help teachers to display the notices to students. Nowadays the education system is using online platforms for reaching out to the students who are at remote locations so our proposed system will help them to mark attendance at remote locations as well as in offline sessions.

2. Literature Survey In the literature and on the market, there are numerous proposals for Automatic Attendance Systems. The majority of them concentrate on applications that should be installed on the lecturer's device, whether it be a smartphone or a laptop. A number of these concepts will be briefly discussed in this section.

Key Words: Attendance System, Face Recognition, Analysis, Educational System, Digitalization.

Reference [1] A mobile device and a web application are part of the proposed system. Students' registrations are distributed around among participants one by one. Users can choose between two registration methods: selfie registration or signature registration. Following registration, previously registered IDs and names are deleted from the list of participants. A Monaca-application is a mobile application that runs on a mobile device.

1. INTRODUCTION The popularity of smartphones has increased over the years. This could change and speed up the attendancetaking process in institutes. The idea is to digitize the way attendance is taken in colleges. This system is not only for attendance marking but teachers can also post notices, and be able to view detailed analyses of attendance for particular students, where students can view notices, track their attendance, apply for leave and feedback.

Reference [2] Is based on the identification of face recognition in order to resolve the concerns with the previous attendance system. Using a camera to record photographs of the employee, this technology detects and recognizes faces.

The vision is to create a software that is simple to use for the faculties with any size of classes and manage the classroom. A face recognition system is a technology that has the ability to recognize the face of a person from a digital image or a video frame is compared with that of the background in the face, which is often used to authenticate users by means of a verification of the identity of a service, through the identification and measurement of the features of the face in the image.

Reference [3] Proposes software to be installed in the staff’s smart phone. It will allow it to connect to the student's smartphone through Bluetooth and validate the student's attendance by transferring or sending the student's smartphone's Media Access Control (MAC) addresses to the staff's smartphone. Reference [4] Discusses how to solve present challenges while also promoting a paperless environment. The goal was to create an attendance system that required little hardware, setup, and maintenance, such as running the software on the instructor's existing Android mobile device.

1.1 Problem Statement The manual process of taking attendance is a time consuming and inefficient way. The project aims to

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