This project aims to highlight the extent to which deaths around the world are attributed to rising air pollution. Additionally, it reveals the different levels of the effect of air pollution on developing and developed countries. Becoming more aware of these health effects allows us to push for greater control of climate change in our global and domestic environments. We hope that this project not only brings awareness, but future change as well.
We hope to generate a machine learning model to predict the air pollution death rates in the coming years. Although we have only looked into air pollution and death rates in the United States, China, India, Sweden, and Liberia, we hope to explore these variables in other countries as well. We will classify countries into categories of developed country or developing country and generate separate machine learning models for the two categories.
The ML model could be improved upon by taking into account population data as well as looking at other forms of air pollution such as ozone pollution and household air pollution. This would likely improve the accuracy of the model and would make it more reliable at predicting the death burden in the future for projected levels of pollution. This could be used to estimate how many lives could be saved if pollution is reduced in the years to come.