IDEAS home Printed from https://ideas.repec.org/a/bjb/journl/v13y2024i8p65-69.html
   My bibliography  Save this article

AI Based Smart Supervision System

Author

Listed:
  • Ms. Harshada Vijay Mandlik

    (RCPET’s Institute of Management Research and Development, Shirpur.)

  • Ms. Vaishnavi Tukaram Dorik

    (RCPET’s Institute of Management Research and Development, Shirpur.)

Abstract

The integrity and fairness of examinations are continually compromised by deceptive practices such as whispering, head movements, and unauthorized hand contacts. These unethical activities pose a serious threat to the credibility of examinations, necessitating the development of a robust model for real-time supervision and control. This research aims to introduce an innovative model designed to detect and prevent such unethical behaviour during examinations, there by upholding the principles of fairness and impartiality. The suggested monitoring system can be used in colleges, universities, and schools to identify and observe students engaging in suspicious activities. By implementing this monitoring system, we aim to stop and address cheating issues since it goes against ethical standards. The proposed invigilation model can be implemented in colleges, universities, and schools to detect and monitor student suspicious activities. Hopefully, through the implementation of the proposed invigilation system, we can prevent and solve the problem of cheating because it is unethical. Each exam room needs a head invigilator to make sure the exams are honest and address any issues that may arise. That’s why we implement the AI Base Smart Supervision System.

Suggested Citation

  • Ms. Harshada Vijay Mandlik & Ms. Vaishnavi Tukaram Dorik, 2024. "AI Based Smart Supervision System," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 13(8), pages 65-69, August.
  • Handle: RePEc:bjb:journl:v:13:y:2024:i:8:p:65-69
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/DigitalLibrary/Vol.13Issue8/65-69.pdf
    Download Restriction: no

    File URL: https://www.ijltemas.in/papers/volume-13-issue-8/65-69.html
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjb:journl:v:13:y:2024:i:8:p:65-69. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.