Global warming is a prominent problem in the world, and a lot of research has been done on how to stop or slow it down. The main cause of global warming is pollution, especially the four main pollutants–carbon monoxide, ozone, nitrogen dioxide, and sulfur dioxide.1 With the use of AI, models can be built that provide insight into pollutant levels across regions of the US. In this project, linear regression models were built that predicted these four pollutant levels across four regions of the US. Pollution levels were studied and used to determine the impact of each pollutant in each region. Results showed that ozone in the west was predicted to have the worst pollutant levels, suggesting resources can be allocated to this region over others to lessen the harmful effects of pollution.