MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081151 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Ai-Based Personalized Learning Recommendation System.
Inventors include P. Harika Prasanna; Dr J Ranga; D Tejaswi; and Dr. K S S Joseph Sastry.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: An AT-based personalized learning recommendation system provides customized educational content for students. It collects data on learning patterns, performance, and engagement levels. Machine learning algorithms analyze the data to identify strengths, weaknesses, and preferred learning styles. The system generates tailored recommendations for courses, exercises, and study materials. Adaptive learning paths optimize knowledge acquisition and skill development. Realtime feedback helps students improve performance continuously. Integration with learning management systems ensures seamless access to content and progress tracking. The system supports multiple subjects, grade levels, and educational fonuats. Predictive analytics anticipate learning challenges and suggest timely interventions. Automated notifications guide students on assignments, assessments, and deadlines. Data visualization dashboards provide insights for educators and administrators. Privacy and security measures protect sensitive student information. Historical and real-time data improve the system’s recommendation accuracy over time. Scalability allows deployment across classrooms, schools, or educational platforms.
Disclaimer: Curated by HT Syndication.
