An interactive machine learning-powered web application that predicts and visualizes road accident severity based on various contributing factors. Built with Python and Streamlit, this dashboard combines predictive analytics with comprehensive data visualization.
- 🚨 XGBoost machine learning model trained on historical data
- ⚡ Real-time severity predictions (Slight/Serious/Fatal)
- 📋 13 input parameters including weather, road conditions, and vehicle types
- 🎨 Dynamic color-coded risk assessment
- 📊 Interactive pie charts and bar graphs
- 📈 Historical prediction tracking
- 🔍 Comparative analytics:
- Casualty distribution by severity
- Speed patterns across accident types
- 🖥️ Responsive dashboard layout
- 🎛️ Intuitive input controls
- 💾 Session memory for prediction history
- 📱 Mobile-friendly design
streamlit run app.py