AI-Powered Road Crash Severity Prediction System

Predict accident injury severity using machine learning and explainable AI to support safer driving decisions and data-driven traffic insights.

Our intelligent crash prediction platform analyzes accident-related parameters such as weather conditions, vehicle movement, road type, driver behavior, traffic controls, and environmental factors to estimate the probability of injury severity in road accidents.

Try Prediction Github Repository Explore Analytics

Website & Project Demonstration

Complete walkthrough of the crash prediction system including frontend pages, prediction workflow, and model outputs.

Website Screenshots

About The Project

Road accidents remain one of the leading causes of injuries and fatalities worldwide. Traditional analysis often focuses on historical reports rather than predictive intelligence.

This project introduces an AI-powered crash severity prediction system that uses machine learning algorithms to forecast accident outcomes before they occur.

The system predicts risk levels and explains contributing factors behind each prediction through explainable AI techniques.

Problem We Solve

Real-time predictive capabilities
Explainable decision making
Driver risk assessment insights
Traffic authority analytics
Accident prevention recommendations

Key Features

AI-Based Crash Severity Prediction

Predict severe injuries using machine learning.

Explainable AI (SHAP)

Understand prediction reasoning.

Dynamic Safety Score

Generate low/high risk conditions.

Interactive Dashboard

Visual insights and risk factors.

Real-Time APIs

Frontend-backend communication.

Cloud Deployment

Prediction available from anywhere.

How The System Works

Step 1: Collect accident parameters.

Step 2: Apply preprocessing and feature engineering.

Step 3: Run trained Random Forest model.

Step 4: Generate SHAP explanations.

Step 5: Display prediction, risk score and recommendations.

Technology Stack

Frontend

React.js
Tailwind CSS
Axios

Backend

Flask
REST APIs
Gunicorn

Machine Learning

Scikit Learn
Random Forest
SHAP

Database

PostgreSQL

Processing

Pandas
NumPy

Deployment

Render
Netlify

Power BI Analytics Dashboard

Dashboard provides accident trends, weather impacts, hotspots, injury severity patterns and traffic insights.

Power BI Dashboard Screenshots

Why Use This Platform?

Supports road safety awareness
Helps understand risk factors
Explainable AI predictions
Traffic analysis insights
Data-driven decisions
Cloud accessibility

Future Improvements

Deep Learning Integration
Live Traffic APIs
GPS Hotspot Detection
Driver Recommendation System
Mobile Application
Live Monitoring Dashboard
Advanced Risk Simulation