Exploratory Data Analysis on "US Accidents" dataset to find out and visualize different trends including impact of COVID-19 on traffic behavior and accidents, environmental stimuli on accident occurrence and accident hotspot locations in order to get control over the same.

Traffic Guardian is an innovative solution designed to enhance road safety and efficiency across California's busy highways. As a COS301 Capstone Project at the University of Pretoria, our goal is to develop a real-time traffic incident detection system that leverages existing traffic camera feeds to identify accidents, congestion and road hazards.

Streamlit & Snowflake-powered AI application that combines data, AI, and innovation to tackle India's infrastructure/accidents challenges.

Exploratory Data Analysis Course

This project explores road traffic accident data to uncover patterns, correlations, and key factors contributing to accidents. Through Exploratory Data Analysis (EDA), the study identifies trends and potential causes, helping policymakers and organizations design preventive strategies.

Creating a dashboard in excel on Road accidents

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.

[경진대회] 대구 교통사고 피해 예측 AI 모델 개발

This project applies machine learning techniques (multiple classification) to predict the severity of traffic accidents using historical data.

Comprehensive statistical analysis of global aircraft crashes (1908–2019) using SAS, including trends, fatality dynamics, and comparisons between historical and modern aviation eras

This is an Exploratory Data Analysis Project on a Dataset used from Kaggle.com. Said Dataset containing Data on Accidents occured in USA uptil Dec 2020

This project is aimed at analyzing traffic accidents in Madrid involving bicycles during the period 2019 to 2022.

This repository contains all datasets and files used in analyzing age groups that are more accident risk prone. It also looks into the effect of seasonality on traffic accidents. Courtesy of Coastal Analytics.

This is the “accidents interactive” for the Living with Machines exhibit at Leeds City Museum 2022–23.

Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle

A Exploratory Data Analysis of USA accident data 2016-2023

Test for streamlit app for road accidents in France

A scraper API for fetching workplace fatality and catastrophe reports from the United States Department of Labor website.

Road Accidents in some Major Cities in the United Kingdom (Sample Data)