MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641093089 A) filed by Sangamithra V on July 31, 2026, for Echodrift: Ai-Driven Chaotic Weather Prediction System Based On Butterfly Effect.
Inventors include Sangamithra V; Niyansri Kruthika; Divyasree S; Sankar Damodaran; Akhil Nair R; and Dr. R. Vanitha.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: Our invention relates to an integrated hardware—software system for proactive disaster prediction and management, leveraging the Butterfly Effect, chaos theory, and machine learning to provide accurate forecasts of cascading disasters. The system continuously collects micro-environmental data using IoT sensors, remote sensing inputs, and meteorological measurements to detect small-scale changes that could escalate into catastrophic events. The collected data is processed through chaos theory-based models, including the Lorenz system, to simulate nonlinear and sensitive environmental dynamics, while machine learning algorithms such as Random Forest, Bayesian Networks, XgBoost and agent-based models are applied to predict the potential evolution and impact of disasters. Additionally, GIS-based dynamic simulations visualize the cascading effects of minor disturbances, enabling authorities and communities to assess risk zones and plan mitigation strategies proactively. The system integrates descriptive, diagnostic, predictive, and prescriptive analytics to provide real-time monitoring, early warnings, actionable insights, and automated reports. The novelty of the invention lies in its ability to fuse real-time environmental sensing, chaos modeling, machine learning, and simulation-based visualization into a single scalable and adaptive system that anticipates disaster escalation with accuracy and timeliness, offering a proactive approach that surpasses conventional reactive• methods in disaster preparedness and management. Keywords : Butterfly Effect, Chaos Theory, Lorenz Model, Disaster Prediction, Disaster Management, IoT Sensors, Real-Time Monitoring, Machine Learning, Agent-Based Modeling, GIS Simulation, Predictive Analytics, Prescriptive Analytics, Proactive Alerts, Micro- Environmental Monitoring
Disclaimer: Curated by HT Syndication.
