MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202621022814 A) filed by Vishwakarma University, Pune, Maharashtra, on Feb. 26, for 'a machine learning-driven automated academic evaluation and feedback generation platform.'
Inventor(s) include Dr. Priyanka Singh; Prof. Vibha Upadhya; Prof. Amitesh Kumar; Dr. Prakash Upadhyay; Dr. Rakesh Kumar Pathak; and Prof. Monika V. Shinde.
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 automated continuous evaluation and instructional analytics system designed for modern educational environments. The system enables dynamic quiz generation from uploaded syllabus content, continuous student assessment, qualitative feedback processing, and adaptive learning reinforcement through structured flashcards. The invention integrates content extraction techniques, contextual question formulation, automated grading mechanisms, feedback interpretation engines, and spaced repetition scheduling within a unified platform. It provides teachers with structured dashboards presenting performance trends, common misconceptions, and categorized feedback insights. The system architecture supports secure data storage, role-based access, encrypted communication, and scalable deployment across institutional infrastructures. By shifting assessment from infrequent examinations to continuous evaluation cycles, the invention improves instructional responsiveness, strengthens concept retention, and reduces faculty workload. The system is adaptable across schools, colleges, universities, corporate training centers, and online education platforms."
Disclaimer: Curated by HT Syndication.
