MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641100699 A) filed by Jeppiaar Institute Of Technology on August 20, 2026, for Smart Human Resource Analytics System For Predictive Employee Engagement, Performance Management, At.
Inventors include Ms. Maha Lakshmi S; Akshai Kumar. K; Aswathi. V; Gunaseelan. R; Jayasri. S; Logavignesh. R; Mukesh Kumar. K; and Sahaya Megisha. J.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: 6. ABSTRACT OF THE INVENTION (to be given along with complete specification on separate page) This invention pertains to a Smart Human Resource Analytics System that uses artificial intelligence and machine learning to forecast employee engagement, oversee and evaluate performance, identify risks of staff turnover, and suggest tailored career advancement routes. The system collects both structured and unstructured data from various organizational sources, such as HRMS, attendance and leave logs, payroll systems, performance reviews, employee surveys, and metadata from internal communications. The gathered data undergoes a pre-processing and feature-engineering pipeline before being stored in a centralized, secure data warehouse. Natural Language Processing ( NLP) is used to analyze unstructured feedback for sentiment scoring, while supervised and unsupervised machine learning models calculate an engagement index, a performance score, an attrition risk score, and career-fit suggestions. The system provides real-time alerts and visual dashboards, empowering HR managers, line managers, and organizational leaders to make proactive, data-driven decisions regarding employee retention, performance enhancement, and career development. The invention also includes a continuous feedback and model-retraining loop that enhances prediction accuracy over time. The disclosed system offers a cohesive, transparent, and adaptable analytics platform that greatly improves the efficiency of human resource management within an organization.
Disclaimer: Curated by HT Syndication.
