MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511116815 A) filed by Dr. Kapil Dev; Dr. Megha Narang; Dr Rajeev Gupta; Ms Seema Yadav; and Ms Karishma Yadav, Jhajjar, Haryana, on Nov. 25, 2025, for 'a system and method for ai -enabled human resource recruitment and candidate scoring.'

Inventor(s) include Dr. Kapil Dev; Dr. Megha Narang; Dr Rajeev Gupta; Ms Seema Yadav; and Ms Karishma Yadav.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "The current disclosure provides a means for a system and method to perform multimodal AI-enabled human resource recruitment, credibility verification, and intelligent candidate scoring. The system has behavioural-biometric sensors designed to capture keystroke dynamics as well as a micro-cursor movement, gaze tracking signals, micro-expressions and environmental audio signatures. The processor operates a behaviour-analytics module to extract multimodal features and calculates a Behavioural Reliability Index (BRI) for detecting signs of stress, cognitive-load variations, and authenticity anomalies. The adaptive assessment engine using reinforcement learning will generate role-specific questions dynamically, while a neuro-symbolic reasoning engine would assess candidate responses using a combination of neural inference, and the reasoning of a symbolic skill graph to produce a Transparent Skill Score (TSS) that performs the same unique function as the key to the TSS assessment mechanism. Fairness correction and score normalization, provided through an identity verification mechanism, will also be done through the system. All assessment logs and decision outputs will be securely stored in a long-term block-chain anchored integrity ledger to ensure all candidates can be evaluated in a way that cannot be tampered with and can easy be audited. This method enables, across all digital and remote recruitment environments, accurate, generalizable, explainable, fair and secure recruitment decision-making processes."

Disclaimer: Curated by HT Syndication.