tactikalkofi/PREDICTING-WEEKLY-AND-MONTHLY-RAINFALL-IN-GHANA-WEST-AFRICA-USING-LONG-SHORT-TERM-MEMORY
Domaine:
climateagricultureType de record:
project
Créateur:
tac
Hôte:
# 🌧️ Ghana Rainfall Prediction System
> **AI-Powered Weekly and Monthly Rainfall Forecasting across Ghana's Climate Zones**
Predicting weekly and monthly rainfall in Ghana using **Long Short-Term Memory (LSTM)** networks, **XGBoost**, **Random Forest**, and **ARIMA** models. This system supports climate-resilient planning for agriculture, water resource management, and disaster preparedness.
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## 📋 Table of Contents
- Overview
- Key Features
- Project Structure
- Installation
- Usage
- Model Performance
- Data Description
- Methodology
- Results
- Deployment
- Contributing
- Citation
- License
- Contact
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## 🌍 Overview
This research project develops and evaluates machine learning models for predicting rainfall across **six meteorological stations** representing Ghana's three distinct climate zones:
| Climate Zone | Stations | Characteristics |
|-------------|----------|----------------|
| **Savannah** | Tamale, Navrongo | Unimodal rainfall pattern |
| **Forest** | Kumasi, Ho | Bimodal rainfall pattern |
| **Coastal** | Accra, Takoradi | Asymmetrical bimodal pattern |
### 🎯 Research Objectives
1. **Develop optimized LSTM models** for weekly and monthly rainfall prediction
2. **Compare four forecasting approaches**: LSTM, XGBoost, Random Forest, and ARIMA
3. **Analyze spatial patterns** across Ghana's distinct climate zones
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## ✨ Key Features
- 🤖 **4 Machine Learning Models**: LSTM, XGBoost, Random Forest, ARIMA
- 📊 **Dual Prediction Horizons**: Weekly and monthly forecasts
- 🗺️ **6 Meteorological Stations**: Complete coverage of Ghana's climate zones
- 📈 **High Accuracy**: R² > 0.85 for monthly predictions using LSTM
- 🌐 **Interactive Dashboard**: Real-time predictions with Streamlit
- 📱 **Responsive Design**: Works on desktop, tablet, and mobile
- 📉 **Comprehensive Visualizations**: Historical trends, predictions, and model comparisons
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## 📁 Project Structure
```
ghana-rainfall-prediction/
│
├── 📄 app.py # Main St …
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