Intellectual Property India Publishes Patent Application for Intelligent Skill Verification And Trust Engine For Machine Learning -Based Candidate Assessment

MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621072876 A) filed by Symbiosis International Deemed University on June 11, 2026, for Intelligent Skill Verification And Trust Engine For Machine Learning -Based Candidate Assessment.

Inventors include Anushka Paliwal; Sharwari Butle; Nandini Durugkar; and Dr. Gagandeep Kaur.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: ABSTRACT INTELLIGENT SKILL VERIFICATION AND TRUST ENGINE FOR MACHINE LEARNING -BASED CANDIDATE ASSESSMENT The present invention discloses an intelligent skill verification and trust engine system (100) for evidence-based candidate assessment in automated recruitment. The system (100) comprises an NLP-based resume parser (120) for extracting structured entities from candidate resumes, a GitHub API integration module (130) for retrieving behavioral evidence from code repositories including commit frequency, repository complexity, and language diversity, a feature extraction engine (140) for harmonising multi- source indicators into unified candidate feature vectors, and an XGBoost classification model (150) for computing a quantitative Skill Credibility Index. The system (100) further includes an asynchronous task processing module (160) employing Celery with Redis for scalable processing, a persistent storage module (170), a recruitment dashboard module (180), an active pipeline management module (185), and a live technical assessment module (190). The system achieves 88.4 percent skill detection accuracy and 91.2 percent discrepancy detection accuracy, processing one hundred and twenty profiles per minute. [

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