# Forecasting Financial Inclusion in Ethiopia
## Author
Bisrat Tamrat
## Week 11 Challenge - 10 Academy AI Mastery
## Project Overview
This project analyzes Ethiopia's financial inclusion data and builds a forecasting system for predicting financial inclusion indicators.
The project focuses on:
- Access (Account Ownership)
- Usage (Digital Payment Adoption)
## Objectives
- Explore the unified dataset
- Enrich the dataset with additional records
- Perform Exploratory Data Analysis (EDA)
- Model event impacts
- Forecast financial inclusion for 2025–2027
- Build an interactive Streamlit dashboard
## Project Structure
ethiopia-fi-forecast/
│
├── data/
│ ├── raw/
│ └── processed/
│
├── notebooks/
│
├── reports/
│
├── src/
│
├── tests/
│
├── dashboard/
│
├── models/
│
├── README.md
├── requirements.txt
└── .gitignore
## Technologies
- Python
- Pandas
- NumPy
- Matplotlib
- Jupyter Notebook
- Streamlit
## Task 1
- Loaded dataset
- Explored dataset
- Added enriched observations
- Documented data sources
## Task 2
- Dataset overview
- Data quality assessment
- Time coverage analysis
- Account ownership trend
- Digital payment trend
- Correlation analysis
- Key insights
## How to Run
pip install -r requirements.txt
Open
notebooks/task1_task2_eda.ipynb
and run all cells.