MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202631026484 A) filed by Dr. Ajit Debnath; Dr. Kuntala Boruah; Dr. Gita Rani Das; Dr. Arati Bharali; Dr. Nabanita Baishya; Violina Deka; and Binoy Ranjan Handique on March 06, 2026, for A Machine Learning–driven Econometric System For Environmental Impact Assessment And Policy Optimization.
Inventors include Dr. Ajit Debnath; Dr. Kuntala Boruah; Dr. Gita Rani Das; Dr. Arati Bharali; Dr. Nabanita Baishya; Violina Deka; and Binoy Ranjan Handique.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to a machine learning-driven econometric system for environmental impact assessment and policy optimization. The system integrates environmental monitoring data, economic indicators, and policy parameters into a unified analytical framework. A machine learning module analyzes complex relationships between environmental and economic variables, while an econometric modeling module estimates causal effects of policy interventions. A policy optimization module evaluates multiple policy scenarios and recommends strategies that minimize environmental impact while maintaining economic stability. The system provides policymakers and environmental analysts with predictive insights and decision-support capabilities for designing effective environmental policies and promoting sustainable development.
Disclaimer: Curated by HT Syndication.
