Inspiration

Imagine a world where the Air Quality is equally distributed everywhere .

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With Smart Transportation we can cure the most hectic problem of the decade.

What it does

The code divides the existing traffic into the possible routes without keeping time as a constraint. The location is suggested on the basis of AQI and hence , this turns out to be a great help.

How we built it

We used python to write our base code and applied a simple if-else statement in loop. We also imported request library and used Json.

Challenges we ran into

The toughest challenge was to come up with the algorithm . As the time we had to build the project was too less we couldn't come up with something fancy but we came up with something worth it.And also calling the Google API seemed sort of impossible in such a less time.

Accomplishments that we're proud of

Honestly , to come up with a practical idea and to be hooked over it for so long is something we are proud of.

What's next for Smart Transportation

Further , we aim to merge our existing code with Google Map's code and build a system based on the fact of Diverting Traffic on the basis of Pollution.

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