Detecting Air Pollution in Vehicles

The "Detecting Air Pollution in Vehicles" project aims to develop a novel system for real-time monitoring
and detection of air pollution levels within the confines of vehicles. With the rise of urbanization and
increasing vehicular traffic, the interior of vehicles has become a significant microenvironment where
occupants are exposed to various pollutants. This project proposes an integrated solution utilizing
advanced sensor technologies and data analysis techniques to continuously monitor air quality inside
vehicles. By deploying a network of sensors capable of detecting pollutants such as carbon monoxide
(CO), nitrogen dioxide (NO2), particulate matter (PM), and volatile organic compounds (VOCs), the
system provides real-time feedback to vehicle occupants. Additionally, data collected from the sensors are
analysed using machine learning algorithms to predict pollutant levels and provide recommendations for
improving air quality. The outcome of this project is expected to contribute to enhancing the health and
well-being of vehicle occupants by raising awareness of indoor air quality and facilitating informed
decisions to mitigate exposure to harmful pollutants.