MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641091059 A) filed by Dr. G. Purushothaman; Mrs. Sathya. A; S. Sumithra. P; Mr. Arjun. N. M; Ms. Swetha. R; Ms. Sandhiya. M; Dr. M. Suresh; and Santhosh Kumar. G on July 27, 2026, for Ai Driven Employee Performance Evaluation System.

Inventors include Dr. G. Purushothaman; Mrs. Sathya. A; S. Sumithra. P; Mr. Arjun. N. M; Ms. Swetha. R; Ms. Sandhiya. M; Dr. M. Suresh; and Santhosh Kumar. G.

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

Abstract: AI DRIVEN EMPLOYEE PERFORMANCE EVALUATION SYSTEM ABSTRACT The invention relates to an AI-driven employee performance evaluation system designed to assess workforce productivity, competency, engagement, and development needs through objective, data-supported analysis. The system integrates information from authorized enterprise sources, including task completion records, project outcomes, attendance data, collaboration platforms, learning activities, manager feedback, and employee self-assessments. A machine learning engine processes the collected information to identify performance patterns, measure progress against predefined role-based indicators, and generate individualized evaluation scores. Natural language processing may be used to examine qualitative feedback and summarize strengths, improvement areas, and recurring workplace behaviors. The system further provides predictive insights regarding skill gaps, training requirements, potential burnout, and readiness for promotion or expanded responsibilities. Bias-reduction mechanisms, explainable scoring models, configurable weighting parameters, and access controls improve fairness, transparency, and privacy. Interactive dashboards present real-time and periodic reports to employees, managers, and human-resource personnel according to authorized roles. The invention enables continuous, consistent, and scalable performance evaluation while supporting informed decisions concerning recognition, coaching, workforce planning, career development, and organizational efficiency. It permits human review and employee appeals before consequential employment decisions are finalized.

Disclaimer: Curated by HT Syndication.