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Air Contamination Observing System using Internet of Things
Sai Tejaswi Guntupalli1, Sathvika Reddy Kalluru2

1Sai Tejaswi Guntupalli, Department of Computer Science Engineering, SRM University, Amaravati (A.P), India.
2Sathvika Reddy Kalluru, Department of Computer Science Engineering, SRM University, Amaravati (A.P), India.

Manuscript received on 28 July 2022 | Revised Manuscript received on 04 August 2022 | Manuscript Accepted on 15 August 2022 | Manuscript published on 30 August 2022 | PP: 141-145 | Volume-11 Issue-6, August 2022. | Retrieval Number: 100.1/ijeat.F37590811622 | DOI: 10.35940/ijeat.F3759.0811622
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Internet of Things (IoT) is a worldwide network of “smart gadgets” that can interact with people and other systems. It can sense and connect to their surroundings. Air pollution is a significant problem nowadays. The present monitoring techniques have poor accuracy, sensitivity and need for laboratory testing [1]. We have proposed a three-level air pollution monitoring system to address these issues with current regulations. Gas sensors, the Arduino Integrated Development Environment (IDE), and a Wi-Fi module form the foundation of the IoT kit. Gas sensors gather information from their surroundings and send it to the Arduino IDE. It uses the Arduino Wi-Fi module to send IDE data to the cloud. We’ve also created the Android application IoT-Mobair, which enables users to access the pertinent cloud-based air quality data [3]. When the user arrives at their location, the pollution level is graded throughout the trial, if it is too high an alarm is displayed. Air quality data may also be used to predict future air quality index (AQI) values. 
Keywords: Air Pollution Monitoring System, Air-Pollution Safe Route, Air Quality index, Android, Cloud, Distributed systems, Sensors
Scope of the Article: IoT