MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541116129 A) filed by Nandha Engineering College, Erode, Tamil Nadu, on Nov. 24, 2025, for 'ai-powered online interview fraud detection monitor.'
Inventor(s) include Dr. T Rajasekaran; A Kishorekumar; K Nandhini; P Rithanya; M Sowmiya; S Thaaranyaashree; and M Vikneash.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The Online Interview Fraud Detection Monitor consists of three major analytical subsystems: a Real-Time Media Ingestion Engine, a Behavioral Anomaly Correlator with a user-initiated trigger, and a Multi-Layer Verification & Action Module. In this system, the first subsystem, the Real-Time Media Ingestion Engine and its integrated protocols, is used to locate and track the candidate's identity and actions through continuous data streaming and targeted manual review. The continuous data stream is provided by the webcam and microphone, while the targeted manual review is initiated by the proctor. The second subsystem, the Behavioral Anomaly Correlator and its analytical models, is used to provide a confidence score on the candidate's authenticity. The algorithms are designed in such a way that anomalous behavioral patterns will trigger a security flag. The analytical weight applied by the correlation engine is transmitted to the proctor dashboard and helps to uproot the fraudulent activity from the interview session. The manual effort required by the proctor can be minimized by adjusting the sensitivity of the automated alerts. The Online Interview Fraud Detection Monitor has the advantages of user-centric design, ease of operation by any hiring manager, low operational cost, reduced manual monitoring effort and identification of fraudulent attempts across different interview platforms."
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