Sheyd21/climate_monitoring

AI-powered climate and environment monitoring (Mozambique) # 🌍 Climate and Environment Monitoring Platform An **AI-powered climate and environment monitoring system for Mozambique**, built using **Flask (Python)** with integrated satellite data, NDVI vegetation analysis, air quality tracking, and flood risk detection. --- ## ⚙️ Run the Web App Locally Follow these steps to install and run the platform on your own computer. ### 1️⃣ Clone this repository ```bash git clone github.com cd climate_monitoring python -m venv .venv .\.venv\Scripts\Activate.ps1 python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt python run.py Then open your browser and go to: 👉 127.0.0.1 You’ll see the live dashboard interface with: 🌱 Vegetation (NDVI) charts 🌫️ Air quality forecast (Open-Meteo) 🌊 Flood and cyclone monitoring 💧 Health indicators visualization climate_monitoring/ │ ├── app/ │ ├── templates/ # Frontend HTML pages │ ├── static/ # CSS, JS, images, plots │ ├── routes_environment.py # Environment page logic │ ├── routes_satellite.py # NDVI & satellite features │ └── database.py # SQLite data access │ ├── run.py # Flask app entry point ├── requirements.txt # Python dependencies └── .gitignore # Ignored files (env, data, etc.) Notes You don’t need API keys to test most pages. If you want to use Google Earth Engine features, run earthengine authenticate first and add your credentials (not required for local demo). Database (data/climate_app.db) is included or auto-created if missing. Author Sheyd Chaúque Bachelor Thesis — AI-powered Climate and Environmental Monitoring (Mozambique) Technologies: Python, Flask, TensorFlow, Google Earth Engine, Plotly.