Online Exam Authentication System Using Deep Learning

Project Code :TCMAPY711

Objective

The main objective of this project is to implement Online Student Authentication and Proctoring System Based on Multimodal Biometrics like face authentication.

Abstract

Identity verification and proctoring of online students are one of the key challenges to online learning today. Especially for online certification and accreditation, the training organizations need to verify that the online students who completed the learning process and received the academic credits are those who registered for the courses. Furthermore, they need to ensure that these students complete all the activities of online training without cheating or inappropriate behaviours. The COVID-19 pandemic has accelerated (abruptly in certain cases) the migration and implementation of online education strategies and consequently the need for safe mechanisms to authenticate and proctor online students.

 

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W System Configuration:-

·         Processor                        -    I3/Intel Processor

·         RAM                              -    4GB (min)

·         Hard Disk                      -   160GB

·         Key Board                     -    Standard Windows Keyboard

·         Mouse                            -    Two or Three Button Mouse

·         Monitor                          -    SVGA

 

S/W System Configuration:-

Operating System             :   Windows 10                

Front End                        :   HTML, CSS, BOOTSRAP

Scripts                             :   JavaScript, Jquery.

Server side Script             :   Python

Framework                     :   Django, Flask

Database                          :   My SQL.

Demo Video

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