maximize City budget, taxpayer returns, quality of life for city residents/ inhabitants, decongested traffic, lower emissions

What it does

Guides motorists to parking zones. Allows city to lower expenses and add revenue

How we built it-

Using javascript, node.js, city iq api(predix) and google maps api.

Challenges we ran into-

Time pressure, simulated city iq system(not as interactive)

Accomplishments that we're proud of

  • Finish app start to end 15 hrs, proof of concept.

What we learned-

Integration challenges. Need for clear Api documentation.

What's next for ParkAssist-

Being able to detect specific parking slots. Bring it life as practical deployent.

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