Automated online exam proctoring system using computer vision and hybrid ML classi er
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
| Glavni autori: | , , , |
|---|---|
| Daljnji autori: | |
| Format: | Disertacija |
| Jezik: | English |
| Izdano: |
Brac University
2022
|
| Teme: | |
| Online pristup: | http://hdl.handle.net/10361/16099 |
| id |
10361-16099 |
|---|---|
| record_format |
dspace |
| spelling |
10361-160992022-02-06T21:10:17Z Automated online exam proctoring system using computer vision and hybrid ML classi er Hossain, Zarin Tahia Roy, Protyasha Nasir, Rina Nawsheen, Sumaiya Hossain, Muhammad Iqbal Sakeef, Nazmus Department of Computer Science and Engineering, Brac University Online proctoring MFCC XGBoost MLP Hybrid classifi er Cheating prediction Machine learning Internet in education Computer-assisted instruction. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 32-34). The term online proctoring comes hand in hand with online education. There are not many exceptions between traditional education and the online education system except for the fact that online education, as well as online examination, happens over the internet. Due to the Covid-19 situation, when going to schools or colleges and receiving an education is not possible, online education is helping the students to continue their education properly. As much as the importance and necessity of online education can be seen, questions regarding the validity of online exams also emerged. In traditional pen-paper examinations, it is quite di cult for students to cheat under the watchful eyes of the examiner. However, in online examination, the scenario is quite di erent as there is an absence of an invigilator and thus it is quite di cult to observe examinees and detect cheating attempts during online exams. Even though there are already many systems for online proctoring, not all educational institutes can a ord them as the systems are very expensive. In this paper, we have used eye gaze and head pose estimation, along with that voice detection as the main features to design our online proctoring system. Therefore, the purpose of this paper is to use these features to create an online proctoring system using computer vision and machine learning and stop cheating attempts in exams. Zarin Tahia Hossain Protyasha Roy Rina Nasir Sumaiya Nawsheen B. Computer Science 2022-02-06T05:16:36Z 2022-02-06T05:16:36Z 2021 2021-10 Thesis ID 18101184 ID 18101116 ID 17201008 ID 17201001 http://hdl.handle.net/10361/16099 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 34 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Online proctoring MFCC XGBoost MLP Hybrid classifi er Cheating prediction Machine learning Internet in education Computer-assisted instruction. |
| spellingShingle |
Online proctoring MFCC XGBoost MLP Hybrid classifi er Cheating prediction Machine learning Internet in education Computer-assisted instruction. Hossain, Zarin Tahia Roy, Protyasha Nasir, Rina Nawsheen, Sumaiya Automated online exam proctoring system using computer vision and hybrid ML classi er |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Hossain, Zarin Tahia Roy, Protyasha Nasir, Rina Nawsheen, Sumaiya |
| format |
Thesis |
| author |
Hossain, Zarin Tahia Roy, Protyasha Nasir, Rina Nawsheen, Sumaiya |
| author_sort |
Hossain, Zarin Tahia |
| title |
Automated online exam proctoring system using computer vision and hybrid ML classi er |
| title_short |
Automated online exam proctoring system using computer vision and hybrid ML classi er |
| title_full |
Automated online exam proctoring system using computer vision and hybrid ML classi er |
| title_fullStr |
Automated online exam proctoring system using computer vision and hybrid ML classi er |
| title_full_unstemmed |
Automated online exam proctoring system using computer vision and hybrid ML classi er |
| title_sort |
automated online exam proctoring system using computer vision and hybrid ml classi er |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/16099 |
| work_keys_str_mv |
AT hossainzarintahia automatedonlineexamproctoringsystemusingcomputervisionandhybridmlclassier AT royprotyasha automatedonlineexamproctoringsystemusingcomputervisionandhybridmlclassier AT nasirrina automatedonlineexamproctoringsystemusingcomputervisionandhybridmlclassier AT nawsheensumaiya automatedonlineexamproctoringsystemusingcomputervisionandhybridmlclassier |
| _version_ |
1814307801175949312 |