LidiyaMulachew/ethiopia-fi-forecast

# Ethiopia Financial Inclusion Forecast ## Project Overview This project forecasts financial inclusion trends in Ethiopia by combining historical indicators, policy events, and digital finance adoption data. The objective is to support financial institutions, policymakers, and analysts in understanding future trends and making evidence-based decisions. --- ## Business Problem Financial inclusion is essential for economic growth, poverty reduction, and access to financial services. Ethiopia has experienced rapid growth in digital financial services such as Telebirr and M-Pesa. Decision-makers need reliable forecasts to understand future financial inclusion trends and evaluate the impact of major financial events and policies. --- ## Solution Overview This project: - Cleans and integrates multiple financial inclusion datasets. - Performs exploratory data analysis (EDA). - Engineers features for forecasting. - Forecasts future financial inclusion trends. - Provides an interactive Streamlit dashboard for visualization. - Uses reproducible Python workflows and automated testing. --- ## Key Results - Cleaned and integrated financial inclusion datasets. - Built forecasting models for future trend analysis. - Developed an interactive Streamlit dashboard. - Added automated unit testing using pytest. - Implemented GitHub Actions CI/CD pipeline for continuous testing. --- ## Features - Data preprocessing - Exploratory Data Analysis - Financial trend forecasting - Interactive Streamlit dashboard - Automated testing - Continuous Integration with GitHub Actions - Reproducible project structure --- ## Project Structure ```text ethiopia-fi-forecast/ │ ├── data/ │ ├── raw/ │ └── processed/ │ ├── dashboard/ │ └── app.py │ ├── notebooks/ │ ├── src/ │ ├── tests/ │ ├── .github/ │ └── workflows/ │ └── python-ci.yml │ ├── requirements.txt ├── README.md └── improvement_plan.md ``` --- ## Installation Clone the repository ```bash git clone gith …