Traffic Risk Prediction for Children Pedestrians

This project addresses the vulnerability of child pedestrians in car crashes, particularly in non-metropolitan areas with limited sample size for precise prediction. It aims to deploy various machine learning models to accurately predict such crashes and visualize the data to educate the public.

Learn more about this project:
GitHub Link
App/Storymap Link