Online Interview Integrity Monitoring System

Abstract

The rapid adoption of online interviews across academic institutions and corporate recruitment processes has introduced significant challenges related to integrity, fairness, and authenticity. While virtual interviews offer flexibility and scalability, they also increase the risk of malpractice such as impersonation, use of unauthorized assistance, content leakage, and biased evaluation. This research paper presents Interview Integrity Monitoring (IIM), a comprehensive project framework designed to monitor, analyze, and enhance the integrity of online interviews using intelligent monitoring mechanisms. The proposed system integrates behavioral analysis, system-level monitoring, and data-driven decision support to ensure transparency and trust in online interview environments. The study discusses system architecture, monitoring techniques, ethical considerations, and potential applications, demonstrating how Interview Integrity Monitoring can serve as a reliable solution for modern remote interview processes.

KEYWORDS: Online Interview Monitoring, Interview Integrity, Remote Assessment, Proctoring Systems, Behavioral Analysis, Secure Recruitment