Being travel enthusiasts, we where unable to find a good platform to assess the neighborhood we looked into for our purposes. This spurred our inspiration to connect people with the right community using personalized weighted data solutions.
What it does
Uses a survey to assess what people want in their ideal neighborhood: entertainment, proximity of facilities, safety. Using this survey, give overall rating for user of neighborhood.
How we built it
Google surveys for survey Python scripts + google maps api for getting locations of facilities and such
Challenges we ran into
google maps doesn't in toronto reliably
Accomplishments that we're proud of
json file parsing, personalized weighted data mechanism
What we learned
What's next for Neighborhood4U
Machine learning wink