Inspiration

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

data-science

What's next for Neighborhood4U

Machine learning wink

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