NucleusEngineering/NucleusEngineering-genai-product-data-challenge

A generative AI challenge with the open Best Buy product dataset.

Welcome to the generative AI product data challenge!

Motivation

This project aims to use the Best Buy open data set as a basis of a generative AI use-case.

Requirements

Set up your local development environment

Skip this step, if you are using Vertex AI Workbench Notebooks, your environment already meets all the requirements to run this notebook.

Otherwise, make sure your environment meets this notebook's requirements. You need the following:

• Git
• Google Cloud SDK (gcloud)
• Python 3
• virtualenv
• Jupyter notebook running in a virtual environment with Python 3
• The Google Cloud guide to Setting up a Python development environment and the Jupyter installation guide provide detailed instructions for meeting these requirements. The following steps provide a condensed set of instructions:

1. Install and initialize the Cloud SDK.

2. Install Python 3.

3. Install virtualenv and create a virtual environment that uses Python 3. Activate the virtual environment.

4. To install Jupyter, run pip install jupyter on the command-line in a terminal shell.

5. To launch Jupyter, run jupyter notebook on the command-line in a terminal shell.

How-to

An explanation of the preprocessing, and introduction to the products data is provided in the jupyter notebook Product_Data_Analysis.ipynb.

Follow the instructions of the notebook, and you will find a challenge at the end.

Enjoy the challenge, get creative!