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Online Exam
Cheating
Detection Presented by :
Bharat Kumar
Manoj Kumar
Yash Nawani
Project Definition
● An Online Cheating Detection
System which will detect whether
the individual is trying to do some
unwanted action.
● It offers scalability and flexibility to
manage the end to end process of
question paper pattern to
processing the results.
● It will prevent student from taking
unwanted steps during exam.
2
Technology
Required
3
Technology
Deep
Learning
Python
PHP /
MySQL
Existing System
● There are lots of applications and
website available for online
examination but they are not efficient
enough to detect whether someone is
cheating or not.
4
Existing System (continue)
○ TCS NQT exam portal is an existing
system which have different features
for preventing cheating like Manual
video checking on fix time interval,
preventing from exiting full screen
mode of browser etc. but even student
can do cheating.
5
Existing software still require human involvement for
preventing cheating like manual video checking etc.
Pros (of existing system)
1.
Easy to
manage
2.
Don't allow
students to
tab change
or exit full
screen in
browser
3.
Disable copy
paste option.
6
Cons (of existing system)
1.
requirement
of remote
invigilator.
2.
manual
checking is
required for
preventing
cheating
3.
it is not
efficient
enough to
detect
cheating
during exam.
7
Possible Solution
○ Track the activity of the students
throughout the exam duration.
○ Authenticate the student whether the
rightful person is giving exam or not.
○ It ensures that the test is conducted in
a fair manner.
8
Possible Solution (continue)
○ There should be no scope of cheating
by the students while they give the
online exam.
○ Track the movement of pupil during
the exam.
○ Track and interpret the surrounding
sounds.
9
Possible Solution (continue)
○ Prohibit user from window changing or
network changing.
○ Screen Capturing
○ Video Procatoring
○ Data encryption.
10
AEIOU
11
12
13
14
15
16
Ideation
Canvas
17
18
Prototype
19
20
21
22
23
24
25
26
27
28
Thanks!
Any questions?

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Online Exam Cheating Detection

  • 1. Online Exam Cheating Detection Presented by : Bharat Kumar Manoj Kumar Yash Nawani
  • 2. Project Definition ● An Online Cheating Detection System which will detect whether the individual is trying to do some unwanted action. ● It offers scalability and flexibility to manage the end to end process of question paper pattern to processing the results. ● It will prevent student from taking unwanted steps during exam. 2
  • 4. Existing System ● There are lots of applications and website available for online examination but they are not efficient enough to detect whether someone is cheating or not. 4
  • 5. Existing System (continue) ○ TCS NQT exam portal is an existing system which have different features for preventing cheating like Manual video checking on fix time interval, preventing from exiting full screen mode of browser etc. but even student can do cheating. 5 Existing software still require human involvement for preventing cheating like manual video checking etc.
  • 6. Pros (of existing system) 1. Easy to manage 2. Don't allow students to tab change or exit full screen in browser 3. Disable copy paste option. 6
  • 7. Cons (of existing system) 1. requirement of remote invigilator. 2. manual checking is required for preventing cheating 3. it is not efficient enough to detect cheating during exam. 7
  • 8. Possible Solution ○ Track the activity of the students throughout the exam duration. ○ Authenticate the student whether the rightful person is giving exam or not. ○ It ensures that the test is conducted in a fair manner. 8
  • 9. Possible Solution (continue) ○ There should be no scope of cheating by the students while they give the online exam. ○ Track the movement of pupil during the exam. ○ Track and interpret the surrounding sounds. 9
  • 10. Possible Solution (continue) ○ Prohibit user from window changing or network changing. ○ Screen Capturing ○ Video Procatoring ○ Data encryption. 10
  • 12. 12
  • 13. 13
  • 14. 14
  • 15. 15
  • 16. 16
  • 18. 18
  • 20. 20
  • 21. 21
  • 22. 22
  • 23. 23
  • 24. 24
  • 25. 25
  • 26. 26
  • 27. 27