MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061148 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Ai Based Student Performance Prediction And Recommendation System.
Inventors include Yuvaraj K; Anish M; Arun Kumar A; Ayisha Nasrin S; Bhuvaneshwari V; Chandran M; Dhachchayini R; and Dhanush S.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An Al-based student performance prediction and recommendation system supports personalized learning and academic planning. The system collects student data, including grades, attendance, assessment scores, and engagement patterns. Artificial intelligence algorithms analyze this data to identify learning trends and predict future performance. The system detects students at risk of underperformance and generates early alerts. Personalized learning recommendations are provided to improve knowledge gaps and skill development. Real-time feedback helps educators adjust teaching strategies. Historical data is used to refine prediction accuracy over time. IoT or cloud-based platforms enable remote access for teachers, students, and guardians. Data visualization tools present progress and performance trends clearly. Automated reporting reduces manual effort in monitoring student outcomes. Secure data handling ensures privacy and confidentiality. Continuous learning improves the system’s predictive and recommendation capabilities. The solution enhances academic decision-making and student success. This intelligent system provides a scalable and effective approach for data-driven education management.
Disclaimer: Curated by HT Syndication.
