Supplementary Data: A Multi-Modal AI System for Real-Time Exam Proctoring Using Visual-Audio Analysis

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Authors: Chaitali Chandankhede
Cited by: 0

Abstract

This dataset contains the supplementary validation data and visual outputs for the research paper "A Multi-Modal AI System for Real-Time Exam Proctoring Using Visual-Audio Analysis." It demonstrates the performance and output format of the proposed proctoring system while maintaining strict subject privacy. Content of the Repository: The dataset is divided into two main components: 1. Visual Inference Outputs (Images) Format: [e.g., .JPG / .PNG] Description: Sample output frames from the proctoring application. These images visualize the system's detection capabilities. 2. Numerical Test Data Format: .csv Usage: This data is intended to support the reproducibility of the study and allows researchers to examine the data structure and output format of the proposed multi-modal system.

Fields of Study & Subjects

Academic integrity and plagiarism Digital Media Forensic Detection User Authentication and Security Systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026