# Ethiopia Financial Inclusion Forecasting System
**Week 11 Challenge - Artificial Intelligence Mastery**
**10 Academy**
**Date:** 15-21 July 2026
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## Overview
This project builds a forecasting system to track Ethiopia's digital financial transformation using time series methods. The system predicts Ethiopia's progress on two core dimensions of financial inclusion as defined by the World Bank's Global Findex:
- **Access** — Account Ownership Rate
- **Usage** — Digital Payment Adoption Rate
### Business Context
Ethiopia is undergoing rapid digital financial transformation:
- Telebirr has grown to over 54 million users since launching in 2021
- M-Pesa entered the market in 2023 and now has over 10 million users
- Interoperable P2P digital transfers have surpassed ATM cash withdrawals
- Yet only 49% of Ethiopian adults have a financial account (2024 Global Findex)
The consortium (development finance institutions, mobile money operators, National Bank of Ethiopia) wants to understand:
- What drives financial inclusion in Ethiopia?
- How do events like product launches, policy changes, and infrastructure investments affect inclusion outcomes?
- How did financial inclusion rates change in 2025, and how will it look in 2026-2027?
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## Project Structure
```
ethiopia-fi-forecast/
├── .github/workflows/ # CI/CD workflows
├── data/
│ ├── raw/ # Original datasets
│ │ ├── ethiopia_fi_unified_data.xlsx
│ │ ├── ethiopia_fi_unified_data_enriched.xlsx
│ │ └── Additional Data Points Guide.xlsx
│ └── processed/ # Analysis-ready data
├── notebooks/ # Exploratory analysis
│ ├── README.md
│ └── eda_analysis.py
├── src/ # Source code modules
│ ├── __init__.py
│ ├── data_loader.py # Data loading with error handling
│ └── eda_analyzer.py # EDA analysis functions
├── dashboard/ # Interactive dashboard
│ └── app.py
├── tests/ …