MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049902 A) filed by Easwari Engineering College; and Srm Institute Of Science And Technology, Ramapuram Campus, Chennai, Tamil Nadu, on April 20, for 'real-time ai-based climate intelligence system with dynamic accuracy validation and explainable risk prediction.'
Inventor(s) include Sampathkumar N; Duranjai V; and Mr Ilamurugan G.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention describes a system for detecting climate anomalies and predicting weather conditions using artificial intelligence and machine learning. It analyzes meteorological data such as temperature, humidity, pressure, wind speed, and rainfall from APIs and sensors. The data is preprocessed and engineered to identify meaningful weather patterns. An anomaly detection engine using Isolation Forest and LSTM models detects irregular events like heatwaves. A time-series forecasting module predicts future weather conditions. The system also includes explainable AI to provide clear insights into anomalies. Real-time data pipelines continuously update predictions, while a web-based dashboard visualizes trends, anomalies, and forecasts. This framework improves climate monitoring, enhances anomaly detection, and supports proactive environmental decision-making."
Disclaimer: Curated by HT Syndication.
