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Detecting Impersonators in Examination Centres using AI project on Python

Python ideas     ganesh kavhar    2021-03-11

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Detecting Impersonators in Examination Centres using AI project abstract


Posted by :  ganesh kavhar
Project Name :  Detecting Impersonators in Examination Centres using AI
Upload Date :  2021-03-11
Platform :  Python
Programming Language :  Python opencv ,tensorflow
Database :  student database
Project Type :  web Application
View :  459

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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