This paper describes the design and implementation of a real-time air quality monitoring system utilizing the ESP32 microcontroller, which can measure critical environmental characteristics such as gas concentration, temperature, and humidity. The MQ-2 and MQ-135 sensors detect hazardous gasses, and the DHT11 detects ambient conditions. The device continuously monitors air quality and sends notifications when thresholds are surpassed. Furthermore, location data is acquired via GPS, allowing for exact tracking of hazardous regions. This technology is intended to provide an affordable and scalable solution for boosting environmental awareness in urban and industrial environments. Real-time and precise air quality assessment systems are becoming more and more necessary as worries about air pollution and its detrimental impacts on public health and the environment grow (Murdan and Jeetun, in Post-pandemic air quality monitoring system using Internet of Things (IoT). 2023 Third international conference on artificial intelligence and smart energy (ICAIS), 2023). In order to continuously monitor different air pollutants, a real-time air quality measurement system has been developed. To gather, evaluate, and disseminate real-time data on air quality, the system combines cutting-edge sensor technology with wireless communication protocols. Particulate matter (PM2.5 and PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) are among the pollutants that can be detected by the network of sensors that make up the proposed system. These sensors are positioned in strategic ways throughout the target areas to guarantee thorough coverage and accurate monitoring of air quality parameters. This system seeks to improve knowledge of air pollution trends and assist initiatives to lessen its effects on the environment and public health by offering continuous and reliable data.