mutigaj1/finaccess-streamlit

DTSC 691 capstone Streamlit app for predicting financial access profiles in Kenya using FinAccess 2024 # FinAccess Streamlit App DTSC 691 capstone project for predicting financial access profiles in Kenya using the FinAccess 2024 public survey. ## App pages - `app.py` - home page - `pages/1_Resume.py` - resume page - `pages/2_General_Projects.py` - project portfolio page - `pages/3_FinAccess_Project.py` - interactive prediction page ## Model summary The app predicts whether an adult respondent is most likely to be: - Excluded - Mobile money only - Banked The current deployed demo uses a Streamlit-compatible Gradient Boosting pipeline artifact. ## Run locally ```bash python -m streamlit run app.py ``` ## Deploy This repository is prepared for Streamlit Community Cloud deployment. Main entry file: `app.py`