This is a Research Demonstration Project developed for academic transparency and to showcase high-stakes AI auditing. It is not intended for commercial use.
# 🌍 FairLend-Africa
**Explainable AI for Alternative Credit Scoring in Financially Excluded Communities**
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## 📌 Overview
Access to formal credit is a fundamental barrier to financial inclusion in Sub-Saharan Africa. **FairLend-Africa** is a research-grade framework that proves how behavioral data—mobile money transactions, savings consistency, and airtime habits—can serve as powerful, fair, and explainable proxies for creditworthiness.
> [!NOTE]
> This is a **Research Demonstration Project** developed for academic transparency and to showcase high-stakes AI auditing. It is not intended for commercial use.
### 🧪 Research at a Glance
| Metric | Performance |
| :--- | :--- |
| **Model Ranking (ROC-AUC)** | **0.7137** (Peer-benchmarked) |
| **Decision Precision** | **86.0%** |
| **Fairness Compliance** | **100%** (Zero violations of the 80% rule) |
| **Primary Signal** | `wallet_balance_trend` (SHAP: 0.377) |
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## 🖥️ Dashboard Preview
*The FairLend Dashboard provides loan officers with real-time SHAP-based explanations for every credit decision, bridging the gap between "Black Box" AI and human understanding.*
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## 🏗️ Project Architecture
```text
fairlend-africa/
├── notebooks/ # End-to-end research pipeline (01-06)
├── api/ # High-performance FastAPI backend
├── frontend/ # Interactive React dashboard
├── src/ # Core logic for data & ML auditing
├── artifacts/ # Generated plots, metrics, and serialized models
└── paper/ # 📄 fairlend_africa.pdf (Manuscript)
```
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## 🚀 Quick Start (Reproduction Guide)
### 1. Environment Setup
```bash
git clone
github.com
cd fairlend-africa
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
```
### 2. Generate Data & Train Model
```bash
# Generate 10,000 synthetic behavioral records
python src/data/generate_dataset.py --n 10000
# Execute the pipeline (o …