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@article{206842,
        author = {Shreeshail and Salini Abraham and Piyush S B and Shree Hari and Sushanth M S},
        title = {Online Exam Proctoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {658-664},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206842},
        abstract = {With increasing popularity of remote learning, online exams have been widely adopted in many institutions of higher education. There are, however, a number of difficulties involved with online testing like cheating, impersonation, tab switching, and help from external sources. Currently existing systems for online testing lack proper supervision for the student taking the exam. To solve such problems, an Online Exam Proctoring System will be designed which will monitor the face of the examinee throughout the examination using face recognition technology and log suspicious activities such as tab switching or inactivity on the computer screen. For coding-related exams, coding sandbox on the web browser will be provided to write and run code without any risk.},
        keywords = {Online examination, AI proctoring, face recognition, tab-switch detection, coding sandbox, behavior analysis, academic integrity.},
        month = {July},
        }