Travel Simply

Inspiration

We felt that there were a lot of drawbacks with AirBnB and vacations. Customers have to do their own research for vacation spots. We decided to improve on this.

What it does

An extension that provides easy access to simplified information of an American city for people to quickly and conveniently become more aware about crime rates, covid risks, and variation in costs across different states in America

How we built it

We used Deepnote to collaborate on this code, and we used Python as our primary coding language. We also used HTML to create the extension. Throughout our projected we accumulated many APIs and CSV files to extract the data necessary for our project.

Challenges we ran into

We kept on running into exceptions from different APIs with different formats that made it hard to extract data in an efficient manner. Debugging was incredibly difficult because we had to go through each line of code to find places where exceptions were occurring.

Accomplishments that we're proud of

We made a pretty comprehensive extension that can basically take in any US city and provide information about that city like crime rate, COVID cases, and cost of living. We also used machine learning to predict an increase in COVID levels based on the difference in COVID rates found in neighboring districts.

What we learned

Data science is difficult to utilize with little experience, which made the event more rewarding. Not only is it hard to extract useful data from various source, but it is even harder to make some sort of meaningful conclusion from that data through data analysis and machine learning.