The poor air quality in many contemporary metropolitan locations negatively influences people's health, especially while users travel in their automobiles for work or school. This study suggests a novel system based on the Internet of Things (IoT) and Gradient Boosting algorithm (GD) that can monitor and regulate the air quality inside the interiors of vehicles in real-time. The system provides passengers and drivers access to vital information to create a cabin atmosphere that is more conducive to good health. This is accomplished by integrating cutting-edge sensors, data analytics, and user interfaces. The suggested solution has as its goal the provision of continuous measurements of pollutants such as particulate matter, volatile organic compounds, and carbon dioxide, in addition to the provision of actionable insights in the form of individualized suggestions and alarms. Utilizing GPS data, the system can also provide route options depending on the current air quality conditions. This study builds a bridge between the fields of environmental health and transportation technology. As a result, it contributes to improved passenger well-being, increased urban mobility, and a complete knowledge of air quality trends. © 2024 Elsevier B.V., All rights reserved.