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Detecting Impersonators in Examination Centres using AI project on Python

Python ideas   Last update on -  March 11, 2021
ganesh k
ganesh k
PHP HTML CSS JS Bootstrap MySql Android Java Angular Python Django Git and GitHub Database Node JS MongoDB C CPP 
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Detecting Impersonators in Examination Centres using AI project abstract


Publish by  ganesh k
Project Name  Detecting Impersonators in Examination Centres using AI
Upload Date  March 11, 2021
Platform  Python
Programming Language  Python opencv ,tensorflow
Database  student database
Front end  
Back end  
Project Type  web Application
View  3685

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Detecting Impersonators in Examination Centres using AI project description

Detecting impersonators in examination halls is important to provide a better way of examination handling system which can help in reducing malpractices happening in examination centers. According to the latest news reports, 56 JEE candidates who are potential impersonators were detected by a national testing agency. In order to solve this problem, an effective method is required with less manpower. With the advancement of machine learning and AI technology, it is easy to solve this problem. In this project we are developing an AI system where images of students are collected with names and hall ticket numbers are pre-trained using the KDTree algorithm and the model is saved. Whenever a student enters the classroom, the student should look at the camera and enter class, after the given time or class is filled with student’s information will store in a video file with student name and hall ticket no .

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