Road-Traffic-Accident-Analysis

This repository contains an in-depth analysis of traffic accident datasets from Toronto and Rawalpindi, utilizing Machine Learning and Association Rule Mining to identify factors contributing to severe injuries. The study develops predictive solutions, compares accident factors across regions, and proposes a framework for enhancing road safety in urban environments. Key methods include PyCaret for model training/testing and various advanced ML/DL techniques