MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043608 A) filed by KKR & KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, on April 6, for 'an intelligent hybrid system for automated examination seating allocation using genetic optimization and machine learning.'
Inventor(s) include Dr. S. Nagendram; Ms. Y. Kavya; Ms. P. Naseera Khan; Ms. Ch. Revathi; and Ms. K. Akshaya.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an adaptive and intelligent examination seating allocation system designed to automate and optimize seating arrangements in educational institutions. Traditional seating allocation methods are manual, time-consuming, and prone to human errors, especially during large-scale examinations involving multiple subjects and halls. The proposed system integrates rule-based constraint enforcement, graph-based conflict detection, genetic algorithm optimization, and machine learning-based adaptive pattern learning into a unified hybrid framework. The system ensures subject-wise separation, optimal hall utilization, bench capacity enforcement, and faculty assignment coordination. Additionally, the machine learning module continuously learns from historical seating data to improve future seating strategies. This hybrid approach significantly enhances efficiency, scalability, fairness, and operational reliability in examination management."
Disclaimer: Curated by HT Syndication.
