MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611057592 A) filed by Ms. Priyanshi Chakervorty; Mr. Harshit Saxena; Mr. Alok Sharma; and Ms. Mansi Aggarwal on May 06, 2026, for Student Performance Prediction System Using Machine Learning.
Inventors include Ms. Priyanshi Chakervorty; Mr. Harshit Saxena; Mr. Alok Sharma; and Ms. Mansi Aggarwal.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: This invention presents a predictive system designed to analyze and forecast student academic performance using machine learning techniques. The system utilizes various input parameters such as attendance, previous academic scores, behavioral patterns, participation in activities, and socio-economic background. By applying supervised learning algorithms, the model identifies patterns and predicts future academic outcomes. The proposed system helps educators, institutions, and students by providing early insights into academic risks, enabling timely interventions and personalized learning strategies. This approach aims to enhance academic success rates and reduce dropout rates through data-driven decision-making. Keywords Student Performance, Machine Learning, Prediction System, Academic Analytics, Data Mining, Education Technology
Disclaimer: Curated by HT Syndication.
