MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621075324 A) filed by Medicaps University on June 18, 2026, for A Machine Learning-Based Climate Prediction And Environmental Risk Assessment System.
Inventors include Prof. Ashwin Parihar; Prof. Gaurav Awasthi; Prof. Vinay Joshi; Prof. Ashwin Sharma; Prof. Ubaid L Hanfee; and Prof. Ankit Soni.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to a machine learning–based climate prediction and environmental risk assessment system. The system integrates environmental data from weather stations, satellites, hydrological monitoring systems, and IoT sensors. A preprocessing module prepares the data for analysis, while a machine learning prediction engine forecasts climate variables including temperature, rainfall, humidity, and air quality. An environmental risk assessment module computes risk scores for potential hazards such as floods, droughts, heat waves, and pollution events. An alert generation module provides real-time notifications and decision-support recommendations. The invention improves forecasting accuracy, enables proactive environmental management, and supports disaster preparedness through intelligent predictive analytics and automated risk assessment.
Disclaimer: Curated by HT Syndication.
