MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641109330 A) filed by Leela Lakshmi Sirana Jayaram; Dr. Sneha Talari; Shashank Shekhar Tiwari; Dr. Rajnish Pandey; Dr. Gracy Theresa W; Dr. J. Parivendhan Inbakumar; S. Kavitha; and Lavanya T on September 11, 2026, for Ai-Based Autonomous Multi-Hazard Prediction And Disaster Response System.
Inventors include Leela Lakshmi Sirana Jayaram; Dr. Sneha Talari; Shashank Shekhar Tiwari; Dr. Rajnish Pandey; Dr. Gracy Theresa W; Dr. J. Parivendhan Inbakumar; S. Kavitha; and Lavanya T.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention provides an AI-driven autonomous system for predicting multiple hazards and managing disaster responses is presented. This system features a multi-tiered architecture aimed at enabling real-time monitoring of environmental conditions and facilitating automated emergency management. It includes a decision support service layer that utilizes stakeholder-specific multi-agent systems, along with an algorithm layer that combines deep reinforcement learning with specialized prediction modules focused on seismic, hydrological, atmospheric, and wildfire occurrences. Additionally, the decision support procedure layer actively creates scenarios related to disaster risks and outlines mitigation strategies. A geospatial knowledge graph connected to language models further converts intricate spatial- temporal data into actionable insights, thereby improving global resilience against disasters and enhancing coordination in response efforts. FIG.1
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