MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042182 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on April 2, for 'a data-driven predictive modeling system for proactive student dropout prevention.'
Inventor(s) include Dr. Rama Krishna B.
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 proposed invention is a complete solution for continuous observation of early-stage detection of student dropout using machine learning techniques. These sources not limited to result summaries, attendance patterns, learning through LMS, financial activity of the students through fee payment modes, behavioral indicators, evaluating student dropout reasons. The proposed architecture is an organization of multiple modules, data sources of institution, integrating data, pre-processing and feature construction, applying predictive machine learning techniques, visualizing the results facilitate the early identification of students. Supervised learning models and deep learning networks evaluate static, temporal behavioral characteristics leading to student dropout. These outputs combined to produce explainable risk indices. The novelty of the proposed work lies in the dynamic feedback, personalized, student-centric support measures, increase future prediction accuracy. Dashboards help obtain more insights and analytical explanations and visualizations to reach student early and minimize the student dropout."
Disclaimer: Curated by HT Syndication.
