Dashboard of road accidents occured during the period of 2021-22 with different reasons behind. Using Ms excel for the data processing and creating pivot tables , using fucntions and may more features of excel to create the final dashboard to give quick overview of data

This project features an Excel-based interactive dashboard that visualizes comprehensive road accident data. The dashboard provides insights into fatal, serious, and slight casualties, along with detailed breakdowns by road type, surface conditions, light conditions, vehicle types, and geographical areas.

This project aims to analyze road accidents based on factors like weather, road surfaces, location, vehicle type, and casualties. I extracted, cleaned, analyzed the data, and built an interactive dashboard for easy visualization. The insights gained will aid in accident prevention and improving road safety.

Machine learning project done during Monsoon Semester 2023 in IIITD.

This is a traffic severity prediction model built using XGBoost, deployed on flask.