MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202621027721 A) filed by Sage University, Indore, Madhya Pradesh, on March 9, for 'system and method for offline predictive air quality monitoring with vernacular language alert generation.'
Inventor(s) include Ms. Sakshi Agrawal; Dr. Hemang Shrivastava; Prof. Suranjit Kosta; Prof. Ankita Thakur; Sarthak Shrivastav; Yakub Varsee; and Mayank Rathore.
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 disclosure relates to offline predictive air quality monitoring with vernacular language alert generation. The system (102) includes a plurality of air quality sensors (104) that measure airborne particulate matter and gaseous pollutant concentrations, and a hardware processor (106) operatively coupled to the sensors (104). The hardware processor (106) receives measurement data at periodic intervals, converting it into timestamped hourly aggregate values forming a historical dataset. The processor (106) compares sets of timestamped hourly aggregate values using locally stored data to identify pattern matches above a predetermined correlation threshold. Based on air quality index values subsequent to identified pattern matches, the processor (106) determines a predictive air quality index forecast. When the forecast exceeds a predetermined threshold, the system (102) generates control signals transmitting SMS text messages and pre-recorded voice messages in vernacular languages, enabling air quality warnings for feature phone users in areas lacking internet connectivity."
Disclaimer: Curated by HT Syndication.
