Work

AI Based Smart Online Exam Proctoring System

Year: 2025

Type: article

Abstract: The system generates an intelligent proctoring report using AI-driven anomaly detection and flagging mechanisms, reducing the dependency on human proctors. Furthermore, deep learning models continuously enhance the system’s accuracy by adapting to new cheating patterns. The research evaluates the system’s performance in terms of accuracy, reliability, and effectiveness compared to traditional proctoring methods

Source: International Journal of Advanced Research in Science Communication and Technology

DOI: 10.48175/ijarsct-23740

Authors: Dr. Tripathi Sir, Sachin Yadav, Snehal Toradmal, Bhargavi Sherla, Sahil Shety

Language: English

Topic: Academic integrity and plagiarism

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Quality education, Peace, justice, and strong institutions

Open Access status: diamond

OpenAlex ID: W4408479452

FWCI:

Cites: 1

Cited by:

Related to: 10