MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621044114 A) filed by Dr. Uday V. Gudsoorkar; Dr. Archana Choudhary; Dr. Venkat P. Patil; Dr. Umakant B. Gohatre; Dr. B. Manojkumar; and Mr. Madhav B. Jadhav on April 07, 2026, for "system And Method For Ai-Based Real-Time Cyclone Monitoring, Prediction, And Adaptive Risk Alerting'.
Inventors include Dr. Uday V. Gudsoorkar; Dr. Archana Choudhary; Dr. Venkat P. Patil; Dr. Umakant B. Gohatre; Dr. B. Manojkumar; and Mr. Madhav B. Jadhav.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a real-time artificial intelligence-based system and method for cyclone monitoring, prediction, and adaptive risk assessment. The system integrates multi-source meteorological data including satellite imagery, ocean buoy measurements, IoT-based weather stations, radar observations, and mobile network data. A cloud-based processing platform preprocesses and fuses the acquired data and feeds it into deep learning models comprising a convolutional neural network for intensity estimation and a sequence-based neural network for trajectory prediction. A rapid intensification detection module and a composite risk index computation module generate predictive analytics and automated early warnings when predefined thresholds are exceeded. The invention further includes an adaptive retraining mechanism configured to compare forecast outputs with ground-truth observations, detect model drift, update datasets, retrain models, and redeploy improved versions. The proposed system enhances forecasting accuracy, reduces response latency, and improves disaster preparedness through continuous learning and automated decision support.
Disclaimer: Curated by HT Syndication.
