Kidus-Yoseph1/ethiopia-fi-forecast

# 🇪🇹 Ethiopia Financial Inclusion Forecast & Analysis ## 📌 Project Overview This project transforms raw financial data and news-sourced events into an analytical dashboard. It addresses the challenge of sparse historical data (Findex points) by augmenting traditional trend lines with "shocks" derived from major policy and infrastructure events. ### Key Components: * **Event-Indicator Association** * Quantifies the impact of events (e.g., Telebirr launch, Digital ID rollout) using a "Fuzzy ID" mapping logic. * Generates an **Association Matrix** that shows how different triggers affect specific National Financial Inclusion Strategy (NFIS) indicators. * **Forecasting Access & Usage** * Predicts **Account Ownership** and **Digital Payment Usage** for 2025–2027. * Provides three scenarios: **Optimistic, Base, and Pessimistic** to quantify uncertainty. * **Interactive Dashboard** * Built with **Streamlit**, providing stakeholders with a visual interface to explore metrics, trends, and projections. --- ## 🚀 How to Run the Project ### 1. Prerequisites Ensure you have Python 3.9+ installed and the required libraries: ```bash pip install -r requirements.txt ``` ### 3. Launching the Dashboard Navigate to your project folder and run the following command: ```bash # From the root directory streamlit run dashboard/app.py