Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Download Paper Format
Copyright Form
Author(s)
Abstract
The Rapid Shift To Remote Hiring Has Created New Avenues For Interview Fraud. This Paper Presents An Automated AI System For Interview Fraud Analysis And Alerts, A Browser-native Web Application That Monitors Online Interview Sessions In Real Time Using A Multi-modal Detection Pipeline. The System Integrates Computer Vision Via MediaPipe Face Mesh And TensorFlow.js COCO-SSD For Face Monitoring, Eye Gaze Estimation, And Object Detection; Web Audio API For Multi-voice And Whisper Detection; A QR Code-based Mobile Device Pairing Module Backed By Firebase Realtime Database; And Browser Tab-switch Detection Using The Page Visibility API. All Violations Are Mapped To A Dynamic Integrity Score Beginning At 100 Points. An Administrator Dashboard Provides Post-session Review With Candidate-level Integrity Scores And Violation Histories. The System Extends Prior Work On Audio-visual Synchronization-based Fraud Detection By Delivering Proactive, Real-time Detection Across Six Independent Modalities Entirely Within The Candidate's Browser.
Keywords
Paper ID
IJSARTV12I3104757
Publication Date
March 22, 2026
Research Area
Artificial Intelligence & Web Technologies