MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621070759 A) filed by Linesh Tulshiram Khadke; Dr. R. Sujatha; Dhananjay Raosaheb Vidhate; Mohammad Arif; Dr. Tamilarasi Rajamani; Dr C Vennila; Dr. Ramchand Vedaiyan; Dayananda Sagar Academy Of Technology And Management; Dr. Kavita Singh; Dr. A. Sheik Abdul Salam; Lebaka Lakshmi Reddy; and B. Suresh Kumar on June 06, 2026, for Machine Learning–driven Social Awareness System For Urban Pollution Monitoring In Smart Cities.
Inventors include Linesh Tulshiram Khadke; Dr. R. Sujatha; Dhananjay Raosaheb Vidhate; Mohammad Arif; Dr. Tamilarasi Rajamani; Dr C Vennila; Dr. Ramchand Vedaiyan; Dr. Kavita Singh; Dr. A. Sheik Abdul Salam; Lebaka Lakshmi Reddy; and B. Suresh Kumar.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention relates to the development of a social awareness system powered by machine learning for monitoring urban pollution in smart city settings. In order to forecast pollution patterns, the system uses a network of Internet of Things sensors to collect real-time pollution data, which is then processed by a cloud-based machine learning engine. A Social Awareness Module automatically creates and distributes geotagged health advisories via social media platforms and mobile applications when pollution levels above safety criteria. By offering fast, location-specific air quality information and predicted insights, this technology enables proactive public health actions. FIG.1
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