CS122 - University of Chicago - CAPP

Team Wildcards*

Group Members:

Guillermo Renna
Ibrahim Gabr
Sunjoo Lee
Shambhavi Mohan

Requirements:

You are using IPython 3.5.2
You are using a VirtualMachine where you will download/install requirements found in requirements.txt

Using COSTLY

cd to the /Final Project dir and run
python manage.py runserver
You can now open localhost/school_app to see the frontend

Data Sources

Yelp API for hotel info
Google API for distance, location, and flights
Uber API for fare costs
Greyhound webscraping

airport_data_final_pandas_database.csv : airport info (location).
airport_distance_final_pandas_database.csv : closest airport to each university
cps_data : top 100 schools attended by CPS seniors

To Do

There are many functions we would have liked to include, but did not have time under the deadline.
The control flow - skeleton for visiting 2 schools sequentially in the same trip has been written but not completed.
We have created hard-code work arounds for Uber and Greyhound for places not serviced by them.