Irebamiji/rainfall-risk-nigeria

# Rainfall Patterns and Flood Risk Analysis in Nigeria ## Overview This project analyzes rainfall patterns across all 36 states in Nigeria to identify flood-prone regions and seasonal risk trends. ## Objectives The main objectives of this project is to: * Analyze rainfall distribution across states * Identify peak rainfall months * Classify flood risk levels * Provide actionable recommendations ## Dataset A synthetic dataset was generated to simulate realistic climate patterns across Nigeria, including: * Rainfall (mm) * Temperature (°C) * Humidity (%) * Region ## Key Insights * Southern states experience significantly higher rainfall levels * Peak rainfall occurs between June and September * Flood risk is highest during peak rainy season * Northern regions show lower but variable rainfall patterns ## Advanced Analysis This project was extended to include: * Geospatial visualization of rainfall patterns across Nigeria * A machine learning model (Random Forest) to predict flood risk * Feature-based analysis using rainfall, humidity, and temperature ## Tools Used * Python * Pandas * Matplotlib ## Project Structure * data/ → dataset * notebook/ → analysis * visuals/ → charts ## Conclusion This project demonstrates how data can be used to anticipate environmental risks and improve preparedness strategies. ## Author Ogunmolawa Irebamiji