Air pollution in urban traffic areas has become a serious

environmental and public health concern due to the rapid growth in the number of vehicles and the continuous release of harmful exhaust gases. Major pollutants emitted from vehicles include carbon monoxide (CO), nitrogen oxides (NOx), hydrocarbons (HC), and particulate matter (PM2.5 and PM10), which significantly degrade air quality and create hazardous living conditions in densely populated regions. Continuous exposure to these pollutants can lead to severe respiratory diseases, cardiovascular problems, reduced visibility, environmental degradation, and climate change. Existing air quality management systems are primarily designed for monitoring pollution levels and generating reports; however, they lack the capability to provide real-time corrective actions to reduce pollution at the source. Therefore, there is a growing need for an intelligent, automated, and cost-effective system that not only monitors air quality but also actively reduces harmful pollutants in high-traffic areas.

This project proposes an IoT-Enabled Smart Catalytic Air Purification System designed specifically for deployment in traffic-congested urban locations such as road intersections, highways, bus stops, and commercial zones. The proposed system integrates multiple technologies, including gas sensing, particulate filtration, catalytic conversion, and Internet of Things (IoT)-based monitoring, to create an efficient and automated air purification solution. The system continuously monitors air quality using gas sensors such as MQ-series sensors for detecting harmful gases and particulate matter sensors for detecting dust and smoke particles. These sensors provide real-time data to a microcontroller unit, which processes the collected information and compares it with predefined threshold values