AI-powered dashboard predicting conflict events in West Africa using machine learning and socio-economic data.
# Conflict Prediction Dashboard for West Africa
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## 🔹 Project Overview
This project predicts **conflict events in West African countries** using **climate, socio-economic, and population data**. It leverages **machine learning** to provide insights for policymakers, researchers, and humanitarian organizations about potential conflict risks.
The predictions include both **2024 and 2027 conflict estimates**, giving a short-term and medium-term view of political instability in the region.
đź”— **Live Dashboard:**
conflict-prediction-west-af…
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## 🔹 Research Publication
This project is supported by a published research paper:
đź“„ **Title:** Predicting Conflict Events in West Africa Using Climate, Socio-Economic, and Population Data
🔗 **DOI:** Predicting Conflict Events…
🧑‍🔬 **Author:** Fadil Owolara ADELABOU
🆔 **ORCID:** orcid.org
đź“‚ **Full Paper (PDF):**
Download Research PDF
This publication presents a machine learning approach using a **Random Forest model** to predict conflict events by combining climate and socio-economic indicators.
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## 🔹 Why This Project Matters
Conflicts in West Africa affect millions of people and hinder economic and social development. By combining **climate data (temperature, rainfall)** with **economic and social indicators (GDP, unemployment, poverty)**, this dashboard provides actionable insights to:
- Anticipate high-risk regions for conflicts
- Support humanitarian planning and resource allocation
- Inform research on conflict trends
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## 🔹 Timeline of Key Conflict Events
| Year | Event / Prediction |
|-----------|------------------|
| 2015 | Significant unrest in Nigeria and Mali |
| 2016–2017 | Rising conflicts in Burkina Faso |
| 2018 | Escalation in northern Niger |
| 2019–2020 | Conflict spreads in Côte d’Ivoire and Ghana |
| 2021–2023 | Peaks in regional instability |
| 2024 | Model predicts high conflict in Bur …