MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641058639 A) filed by Nandha Engineeringa College on May 08, 2026, for Ai Based Drop Out Prediction And Counselling System.
Inventors include C Navamani; M Ariprasath; R Dharasri; and G A Bharath.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACTOFTHE The present invention relates to an AI-Based Dropout Prediction and Counseling System(AIDPCS)designed to automatically assess student performance data and predict the likelihood of academic dropout with high accuracy. The system utilizes ensemble machine-learning models to analyze academic metrics, attendance patterns, behavioral attributes, and socioeconomic factors, generating a calibrated dropout-risk score for ead student. AIDPCS further incorporates an intelligent counseling engine that produces personalized intervention recommendations based on identified risk contributors. Through an interactive dashboard interface, the systerr enables administrators and counselors to monitor at-risk students, schedule guidance sessions, and manag€ intervention plans in real time. The invention offers a scalable and cost-effective solution for educational institutions seeking to proactively reduce dropout rates and enhance student success through data-driven, automated academic support. The disclosed invention provides an AI-driven system for predicting studen dropout risk and delivering automated counseling support, using advanced machine-learning models to interpre a wide range of academic, behavioral, and personal data attributes. The system processes student in puts such a~ attendance, GPA, study habits, engagement levels, and prior performance to compute a real-time dropout-ris~ probability, enabling early identification of students requiring academic intervention. A built-in counselin~ recommendation module generate tailored support strategies based on the specific factors contributing to eaci student's riSk classification. Additionally, the system features an interactive dashboard for administrators, allowing centralized monitoring, risk visualization, and management of counseling activities. By combining predictive analytics with automated guidance, the invention enhances institutional ability to reduce studen attrition and improve overall educational outcomes.
Disclaimer: Curated by HT Syndication.
