Inspiration
There are many methods to travel out of State College via Public Transportation, but we do not know the fastest way or how long it takes. This can be frustrating for it can a long time having to search individual modes of transportation, (eg having to search up the time it takes if I take the bus vs train vs flying). This personally happen to me once, I spent on a flight ticket to Baltimore, only to have a friend who spent $200 less than me reach there much earlier via train. .## What it does You enter a neighboring major city near State College, it tells you the quickest public transport option and how long would it take to get there via public transport. Our code considers all transit times and times needed for check-in and baggage claim for flying (which is why 90mins was added to all our flight times). A major city is a city where there are >300000 residing in the city.
How I built it
Using Pandas, Google Colab and Python
Challenges I ran into
Dataset is extremely limited, but of course, it is meant to be expanded. This just serves as a framework
Accomplishments that I'm proud of
Doing this by myself with limited time and being so exhausted, while watching us lose to Maryland in Football
What I learned
How to properly collect data.
What's next for transport outta state
Expand the dataset to have as many cities as possible, develop it into a user friendly actual application and maybe, hopefully, it is of use to many penn State students.
To use it, copy the link, and open the .ipynb file
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