Bilal51002/air-quality-prediction-morocco

# Air Quality Prediction in Moroccan Cities This project aims to predict air quality in Moroccan cities using real-world weather and air pollution data collected from the OpenWeatherMap API. ## Project Overview The objective of this project is to build machine learning models capable of predicting PM2.5 concentration in Moroccan cities based on meteorological and pollution-related features. The project also includes a simple federated learning simulation where each city is considered as a local client. ## Cities Used - Casablanca - Rabat - Marrakech - Fes ## Dataset The data was collected using the OpenWeatherMap API and includes: ### Weather features - Temperature - Feels-like temperature - Humidity - Pressure - Wind speed - Wind direction - Cloud coverage - Weather description ### Air pollution features - AQI - CO - NO - NO2 - O3 - SO2 - PM2.5 - PM10 - NH3 ## Project Structure ```text air-quality-prediction-morocco/ │ ├── data/ │ ├── morocco_air_quality_data.csv │ ├── morocco_air_quality_data_clean.csv │ └── morocco_air_quality_data_model_ready.csv │ ├── results/ │ ├── step3_model_results.csv │ └── federated_vs_centralized_results.csv │ ├── scripts/ │ ├── 01_collect_data.py │ ├── 02_prepare_data.py │ ├── 03_build_model.py │ └── 04_federated_learning.py │ ├── report/ │ └── rapport_Air_Quality_Prediction_in_Moroccan_Cities.pdf │ ├── README.md ├── requirements.txt ├── .gitignore └── LICENSE