MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611054648 A) filed by Ritin Behl; Lavanya Ahuja; Prajakta Singhal; and Himanshu Singh, Ghaziabad, Uttar Pradesh, on April 29, for 'edupredict-x+: explainable academic risk intelligence using counterfactual analytics and llm integration.'
Inventor(s) include Ritin Behl; Lavanya Ahuja; Prajakta Singhal; and Himanshu Singh.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "EduPredict-X+ is an explainable artificial intelligence system designed to identify students at academic risk and provide clear, actionable guidance to educators. The system combines an XGBoost-based prediction model with counterfactual explanations and a Large Language Model (LLM) interface. It achieves strong prediction accuracy while making results easy to understand and act upon. Instead of only flagging students, the system explains why they are at risk and suggests what changes can help improve their outcomes. This approach reduces analysis time significantly and supports timely academic interventions. Keywords: Explainable AI, Academic Risk Prediction, XGBoost, Counterfactual Analysis, LLM, Learning Analytics."
Disclaimer: Curated by HT Syndication.