Inspiration
Finding a house off campus already served enough of a challenge. With the added struggle of finding roommates that won't be physical health hazard, it can be very overwhelming to find the best living situation.
What it does
Every user is given a form regarding what kind of houses they are searching for. They select attributes such as the number of rooms, type of housing, the home's conditions, and more to get a result of houses that match their criteria. What sets it apart from normal sites that have rental listings is the incorporation of matching users with each other based on the similarities between their own search results.
How we built it
Using Costar's public housing data that they've provided for this hackathon, we utilized that and incorporated it with cockroachdb's system.
Challenges we ran into
Getting cockroachdb to work seamlessly was the biggest challenge. We've never worked with their systems at all before and trying to migrate from our existing knowledge of sql to postgresql was not as easy as it would seem. This was due to the many nuances between the two that are easily overlooked such as syntax and names of the object attributes when interacting with it through a webpage.
Accomplishments that we're proud of
We're proud of the fact that we were able to collate the data and implement and utilize a database system we had never used before.
What we learned
Incorporating a variety of programming languages and technology stacks together is always a common lesson at most hackathons.
What's next for a
The next step would be incorporating a user profile and allow for users to have more metrics aside from similar search results to be able to match with each other.
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