Initial commit: Water Scarcity Analysis β Egypt & North Africa
# π§ Water Scarcity Analysis β Egypt & North Africa
> A full-stack data science project that analyses groundwater depletion across Egypt and North Africa using NASA GRACE-FO satellite data, a high-performance C++ simulation engine, and machine-learning forecasting models β all wrapped in an interactive Streamlit dashboard.
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## π Table of Contents
- Project Overview
- Why This Problem?
- Architecture
- Project Structure
- Quick Start
- Phase Details
- Results
- Dashboard
- Tech Stack
- Contributing
- License
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## π Project Overview
The Middle East and North Africa face one of the world's most severe water crises. Egypt and its neighbours draw on ancient underground aquifers β the Nubian Sandstone Aquifer System being the largest β that recharge at **5 mm per year** while being extracted at rates many times higher.
This project builds a complete analysis pipeline in four phases:
| Phase | Component | Key Output |
|-------|-----------|------------|
| 1 | **Data Layer** | 264-month GRACE-style dataset Β· 130-point spatial grid |
| 2 | **C++ Engine** | Darcy groundwater flow simulator Β· 375Γ faster than Python |
| 3 | **ML Models** | LSTM forecaster (MAE 8.5 mm) Β· Random Forest classifier (AUC 0.9998) |
| 4 | **Dashboard** | Interactive Streamlit app Β· standalone HTML dashboard |
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## β Why This Problem?
- **17** Arab countries suffer acute water scarcity
- **80 %** of the region's water goes to agriculture β often inefficiently
- The Nubian Basin loses an estimated **5 mm of water equivalent per year** (NASA GRACE-FO)
- Existing monitoring tools are either proprietary, inaccessible, or not open-source
This project demonstrates how open data + scientific computing + ML can produce actionable early-warning insights.
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## ποΈ Architecture
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β Water Scarcity Monitor β
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β π‘ Data β βοΈ C++ β β¦