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  Published Paper Details:

  Paper Title

  Authors

  Khan Afsheen Sajid,  Borse Vrushali Pitambar

  Keywords

object detection, face recognition, voice detection, head pose model

  Abstract


This study has been undertaken to investigate the system on developing an AI-powered exam proctoring system designed to ensure the integrity of online exams. The system uses artificial intelligence to monitor students during their tests, detecting any signs of cheating or suspicious behavior. It employs facial recognition to confirm student identities, tracks eye movements, and analyzes background noise and movements. It can recognize suspicious behaviors, such as looking away from the screen frequently, talking, or having other people in the background. By using AI, the system provides a reliable and scalable way to ensure exam integrity. This automated approach aims to provide a secure and fair testing environment, reducing the need for human proctors and making online exams more reliable and accessible. The project also takes privacy concerns very seriously by implementing strong data security measures and strictly following all relevant laws and regulations. It ensures that personal information is protected at all times, giving both students and institutions peace of mind that their data is safe and secure. This approach can enhance the credibility of online assessments and support the growing trend of remote learning.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2406055

  Paper ID - 263022

  Page Number(s) - a523-a529

  Pubished in - Volume 12 | Issue 6 | June 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Khan Afsheen Sajid,  Borse Vrushali Pitambar,   "Exam Proctoring AI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 6, pp.a523-a529, June 2024, Available at :http://www.ijcrt.org/papers/IJCRT2406055.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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