MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043481 A) filed by R. Nabeesha; Dr. K D Mohana Sundaram; Anem Sathish; Kotakonda Ravichandra; Kukati Revathi; Yelakatturu Rohith; and Shaik Ayesha, Puttur, Andhra Pradesh, on April 6, for 'a system and method for cloud-integrated iot-based air quality monitoring and predictive environmental control.'
Inventor(s) include R. Nabeesha; Dr. K D Mohana Sundaram; Anem Sathish; Kotakonda Ravichandra; Kukati Revathi; Yelakatturu Rohith; Shaik Ayesha; and Dr. S. Kannappan.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an Internet of Things (IoT)-enabled system for real-time monitoring and prediction of air quality using multi-sensor data acquisition and machine learning techniques. The system comprises a sensing module, a processing unit, a communication module, a cloud platform, a prediction module, and an actuation module. The sensing module acquires environmental parameters including gas concentrations, particulate matter, temperature, and humidity. The processing unit processes sensor data and transmits it to a cloud platform through a wireless communication module. A machine learning-based prediction module analyzes real-time and historical data to forecast future air quality levels. When predicted or measured pollution levels exceed predefined thresholds, the system automatically activates a ventilation mechanism and generates alert signals. The system further provides real-time visualization and remote monitoring through a cloud interface. The invention enables proactive environmental management by integrating sensing, prediction, and automated control in a unified platform, thereby improving air quality monitoring accuracy, response time, and user safety."
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