Supply Chain Project

This project provides EDA, a small ML pipeline, a SQLite database, and a Streamlit app to explore a supply chain Excel dataset.

Quick steps (Windows PowerShell):

1. Create a virtual environment and activate it:

python -m venv .venv
.\.venv\Scripts\Activate.ps1

2. Install dependencies:

pip install -r requirements.txt

3. Create the database from Excel:

python db_setup.py

4. Train a model (if numeric data exists):

python train_model.py

5. Run the Streamlit app:

streamlit run app.py

Notes:

• The scripts try to be resilient to different column names, but you may need to adapt db_setup.py and train_model.py for your dataset.
• If pandas complains about reading Excel, ensure openpyxl is installed (it's in requirements.txt).