MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061184 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Ai Powered Personalized Learning Recommendation System.
Inventors include M. Janani; S. Senbagavalli; Vasanth P; Velvizhi V; Vishal R K; and Vishwanathan D.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An AI-powered personalized learning recommendation system enhances educational experiences through adaptive content delivery. The system collects learner data such as performance, preferences, and learning pace. Additional inputs may include assessment scores and interaction history. Artificial intelligence algorithms analyze individual learning patterns. The system identifies strengths and areas requiring improvement. Personalized learning resources are recommended accordingly. Adaptive content helps match student learning styles. The system continuously updates recommendations based on progress. Educators receive insights into student performance trends. Real-time feedback supports effective learning outcomes. Data visualization tools present progress in an understandable format. Automated recommendations reduce manual academic planning efforts. Cloud-based access enables learning from any location. Secure data handling ensures privacy and reliability. This intelligent recommendation system improves engagement and supports personalized learning pathways.
Disclaimer: Curated by HT Syndication.
