Intellectual Property India Publishes Patent Application for 'An Edge-Computing-based Explainable Ai System For Real-Time Low-Latency Air Pollution Prediction And Context-Aware Public Health Alerts In Sensitive Zones' Filed by SR University

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641047864 A) filed by SR University, Warangal, Telangana, on April 15, for 'an edge-computing-based explainable ai system for real-time low-latency air pollution prediction and context-aware public health alerts in sensitive zones.'

Inventor(s) include S. Akhila; and Dr. Amit Kumar Yadav.

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 discloses an edge-computing-based explainable artificial intelligence system for real-time low-latency air pollution prediction and context-aware public health alerts. The system integrates environmental sensors with edge devices to process data locally using interpretable machine learning models. It incorporates explainable AI techniques to provide transparent insights into prediction outcomes. The invention enables efficient, scalable, and reliable monitoring while generating customized alerts for sensitive zones. This approach enhances decision-making, reduces latency, and improves public health response to air pollution."

Disclaimer: Curated by HT Syndication.