ECS171_Group7 README

Our project concentrates on forecasting housing prices and estimating median incomes in specific areas within the state using the California Housing Prices dataset.

Main file name: backend.py

Link for our demo video “ECS 171 Group 7 Video Demo”:

https://youtu.be/KnR3scwGjLE?feature=shared

The video in the link above can be followed for an example of how to run our code. Alternatively, below are detailed instructions on how to run our main file backend.py.

Running Frontend

Run on Terminal

Run the following commands (Once the main file is opened):

cd my-app

npm start

What should happen?

1. A new tab on your internet browser with the URL “localhost:3000” will appear, with the web page titled “ML Model Frontend”
2. Go back to the code and run. The terminal will appear with the server is running - “Running on http://127.0.0.1:3000”
3. Go back to the web page. Now users can input data into the designated fields into the input fields to generate a prediction for median housing prices.

Running Backend

Run on a new Terminal tab

Create a new terminal tab

Run the following command (Once a new terminal tab is created):

python backend.py