MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202621004293 A) filed by Leeladhar Chourasiya; Dr. Purnima Chourasiya; Ms Swati Mishra; Ms Kavita Jain; Ms Nidhi Vaidhya; Mr Vivek Sharma; Ms Sapna Thakur; and Mr Anand Jain, Seoni, Madhya Pradesh, on Jan. 16, for 'an artificial intelligence enabled human resource management system for intelligent workforce assessment, allocation and performance optimization.'
Inventor(s) include Dr. Purnima Chourasiya; Ms Swati Mishra; Ms Kavita Jain; Ms Nidhi Vaidhya; Mr Vivek Sharma; Ms Sapna Thakur; Mr Anand Jain; and Dr Leeladhar Chourasiya.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence enabled human resource management system configured to automate and optimize key human resource functions including recruitment, workforce assessment, employee performance evaluation, and workforce planning. The system provides an integrated and intelligent platform that supports data-driven and unbiased human resource decision-making in real time. The proposed system collects and processes structured and unstructured human resource data comprising employee profiles, resumes, skill inventories, job descriptions, attendance records, performance indicators, behavioral attributes, and organizational policies. An artificial intelligence processing engine employing machine learning, natural language processing, and predictive analytics techniques analyzes the collected data to generate actionable insights. Automated resume screening and intelligent candidate-job matching mechanisms enable efficient and objective recruitment processes by identifying suitable candidates based on skill compatibility, experience, and organizational requirements. The system further performs continuous workforce assessment by monitoring employee performance metrics, project outcomes, peer feedback, and productivity indicators. Adaptive evaluation models dynamically assess employee performance, identify skill gaps, and recommend personalized training and development programs. The system is also capable of predicting employee retention, attrition risks, and career progression paths, thereby supporting proactive human resource planning and talent management. To minimize bias and subjectivity, the system reduces human intervention in decision-making processes by applying standardized evaluation criteria and algorithm-driven analysis. Real-time dashboards and reporting interfaces provide transparent and interpretable insights to human resource managers and organizational leadership for strategic planning, workforce allocation, promotion decisions, and succession planning. The artificial intelligence enabled human resource management system operates in real time and continuously learns from historical and incoming data, allowing it to adapt to evolving organizational needs and workforce dynamics. By automating routine HR tasks and providing accurate, unbiased, and timely decision support, the invention enhances operational efficiency, improves workforce productivity, and strengthens overall organizational performance. The system is applicable across various industries and organizational sizes, offering a scalable and efficient solution for modern human resource management challenges."
Disclaimer: Curated by HT Syndication.
