AbdellahAjebli/morocco-flood-ai

# Morocco Flood Prediction AI An AI-powered system for predicting flood risks across Morocco using machine learning and weather data. ## 🎯 Project Overview This project provides a complete machine learning pipeline for: - **Data Collection**: Fetches historical and real-time weather data from Open-Meteo API - **Data Preprocessing**: Feature engineering for flood prediction - **Model Training**: Multiple ML models (Random Forest, XGBoost, LSTM) - **Prediction API**: REST API for real-time flood risk predictions ## 🌦️ Flood Risk Levels | Level | Label | Description | |-------|-------|-------------| | 0 | No Risk | Normal conditions | | 1 | Low Risk | Light precipitation expected | | 2 | Moderate Risk | Significant precipitation | | 3 | High Risk | Heavy rain, potential flooding | | 4 | Extreme Risk | Severe weather, high flood probability | ## 📁 Project Structure ``` morocco-flood-ai/ ├── configs/ │ └── config.yaml # Configuration file ├── data/ │ ├── raw/ # Raw weather data │ ├── processed/ # Preprocessed data │ └── models/ # Trained models ├── src/ │ ├── data/ │ │ ├── data_collector.py # Data collection module │ │ └── preprocessor.py # Data preprocessing │ ├── models/ │ │ └── model.py # ML model definitions │ └── utils/ │ └── config.py # Configuration utilities ├── train.py # Training script ├── predict.py # Prediction module ├── api.py # FastAPI web API ├── demo.py # Demonstration script └── requirements.txt # Python dependencies ``` ## 🚀 Quick Start ### 1. Install Dependencies ```bash cd morocco-flood-ai pip install -r requirements.txt ``` ### 2. Collect Data ```python from src.data.data_collector import MoroccoWeatherDataCollector collector = MoroccoWeatherDataCollector() df = collector.collect_all_historical( start_date="2020-01-01", end_date="2024-01-01", include_flood_z …