IoT Based Air Quality Monitoring And Air Purifier System

Authors

  • Mrs.Rupali Toshniwal Assistant professor; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Md IbrahimZain B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Shaik Sohail B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Md Amaanuddin Khan B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Md Abdul Haq Siddiqui B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author

Keywords:

IoT, Air Quality Monitoring, MQ135 Sensor, Raspberry Pi Pico W, Air Purifier, ThingSpeak

Abstract

Air pollution has become a serious environmental and health concern worldwide, especially in urban and industrial regions. This project presents an IoT-based air quality monitoring and air purifier system designed to detect harmful gases and improve indoor air conditions. The system uses a Raspberry Pi Pico W microcontroller with built-in Wi-Fi for real-time monitoring and cloud connectivity. Sensors such as MQ135, MQ7, MQ2, and DHT11 are used to measure gas concentration, temperature, and humidity. When pollutant levels exceed a predefined threshold, the system automatically activates a purifier using UV LEDs and a fan. Data is displayed on an OLED screen and uploaded to the cloud for remote monitoring via ThingSpeak.  It provides real-time alerts and ensures better air quality management.

References

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Published

2026-06-16

Issue

Vol. 2 No. 2 (2026): April-June

Section

Articles

License

Copyright (c) 2026 Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Mrs.Rupali Toshniwal, Md IbrahimZain, Shaik Sohail, Md Amaanuddin Khan, & Md Abdul Haq Siddiqui. (2026). IoT Based Air Quality Monitoring And Air Purifier System. International Journal of Artificial Intelligence and Communication Networks, 2(2), 42-51. https://ijaicn.com/journal/index.php/ijaicn/article/view/22