Power BI dashboard analyzing illegal mining (galamsey) activity across Ghana to identify hotspots, high-risk regions, and trends for data-driven environmental monitoring.
# galamsey-hotspot-detection
Power BI dashboard analyzing illegal mining (galamsey) activity across Ghana to identify hotspots, high-risk regions, and trends for data-driven environmental monitoring.
# Galamsey Hotspot Detection Dashboard
## 📊 Project Overview
This project analyzes illegal small-scale mining (galamsey) activities across Ghana using Power BI. The goal is to transform raw CSV data into actionable insights that help identify high-risk regions and support environmental monitoring efforts.
## 🚨 Problem Statement
Open Forest Watch Africa (OFWA) faces challenges in:
* Identifying galamsey hotspots quickly
* Extracting insights from raw data
* Sharing findings efficiently with stakeholders
## 🎯 Objectives
* Identify regions and cities with the highest galamsey activity
* Calculate total and average mining sites
* Detect high-risk cities based on thresholds
* Provide insights for better decision-making
## 📈 Key Insights
* Highlighted regions with the highest concentration of illegal mining sites
* Identified cities exceeding risk thresholds (e.g., >10 sites)
* Revealed patterns indicating emerging hotspots
* Enabled data-driven prioritization of intervention areas
## 🛠 Tools Used
* Power BI (Data visualization & dashboard creation)
* CSV dataset (Galamsey activity data)
## 💡 Business Impact
This dashboard helps:
* Authorities prioritize high-risk regions
* Improve resource allocation
* Monitor trends in illegal mining activities
* Support environmental protection initiatives
## 📂 Files Included
* Power BI Dashboard (.pbix)
* Dataset (CSV)
* Screenshots of visuals (optional)
## 🚀 How to Use
1. Download the `.pbix` file
2. Open using Power BI Desktop
3. Explore interactive visuals and insights
## 📌 Future Improvements
* Real-time data integration
* Predictive analytics for hotspot forecasting
* Web-based dashboard deployment