Publication

Abstract : Air pollution from harmful gases and tiny particles is becoming a bigger problem for people’s health, especially in areas where cities are growing quickly. Gases like carbon monoxide, methane, and smoke, as well as small (PM2. 5) and larger (PM10) particles, can lead to lung and heart issues. Keeping a close watch on these pollutants is important for taking action early and lowering health risks. This project focuses on the design, development, and implementation of a portable IoT-based air quality monitoring system utilizing the ESP32 microcontroller along with MQ2, MQ9, PM2.5, and PM10 sensors. The system is capable of detecting hazardous gases such as carbon monoxide, methane, and smoke, as well as monitoring fine and coarse particulate matter known to pose serious health risks. Sensor data is continuously collected and displayed in real time on a local OLED screen, providing immediate visual feedback on ambient air quality. Additionally, the system transmits the data to the ThingSpeak IoT platform, enabling remote access and real-time analysis of environmental conditions. This integrated approach offers an efficient, low-cost, and accessible solution for continuous air pollution monitoring and early health risk detection.