MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202621094619 A) filed by Symbiosis International Deemed University on August 04, 2026, for System And Method For Real-Time Air Quality Prediction With Natural Language Explanation.
Inventors include Dr. Gaurav Vishnu Londhe; Honey Kalekar; Akshat Digalwar; and Tanish Tale.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR REAL-TIME AIR QUALITY PREDICTION WITH NATURAL LANGUAGE EXPLANATION The present invention discloses a real-time air quality prediction system (100) comprising a user interface module (110), an API data fetching module (120) with dual-API strategy employing a primary API interface (122) and a fallback API interface (124), a data processing module (130) for cleaning and handling missing pollutant values, a machine learning prediction module (140) utilizing a pre-trained Random Forest regression model (142) to predict air quality index from concentrations of PM2.5, PM10, NO2, SO2, CO, and O3, a visualization module (150) generating interactive gauge and bar charts, a health advisory module (160) providing category-based health recommendations, and a natural language explanation module (170) integrating a large language model to generate human-readable explanations of air quality conditions and health implications. The system ensures data reliability through automatic API failover and provides actionable insights to non-technical users. [
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