Crowd Compute

Crowd source computational power for machine learning

Our plan to make our country great again

Inspiration

We were on a plane and we were wondering what could we do with these devices in our hands

What it does

.Many people in this world have phones that they are not using at this moment in time. A large subset of these people want money. Our hack crowdsources computational power taking advantage of the increasingly fast growth in smart phone processors.

Training a machine learning model takes a great deal of power to do and can take a long time when using only one machine. With our platform, the task is parallelized and distributed among multitudes of mobile devices.

How we built it

We worked together in a cohesive manner keeping team-building concepts in mind in order to create this project-based project.

Challenges we ran into

Implementing the network for iOS was a difficult task for us

Accomplishments that we're proud of

it works

What we learned

how to make it work

What's next for CrowdCompute

CrowdCompute is set to become an amazing business helping people all around the world, by simultaneously helping people from poor college students to the largest of businesses, allowing for an gr9 thing that mutually helps people.

Built With

Submitted to

PennApps XIV

Created by

placeholder="E.g., I worked on the backend and cleaned up our landing page's CSS. It was my first time using node, which was a little intimidating, but I learned a TON about streams.
"

Kevin Fang
REEEEEEEEEEEEEE
Michael Huang
same
Kevin Frans
hey
Lilia Tang

Updates

Kevin Fang posted an update — Sep 11, 2016 03:13 AM EDT

I AM KEVIN FRANS, AND I AM HERE TO TELL YOU ABOUT OUR PROJECT. IT IS THE BEST. WE HAD THE BEST PEOPLE, AND WE USED THE BEST CODE. AND THE BEST THING ABOUT IT—BELIEVE ME—IS THAT WE WON'T MAKE YOU PAY FOR IT. WE WILL MAKE THE MOST MONEY. I HAVE THE MOST MONEY. BELIEVE ME.

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Kevin Fang posted an update — Sep 11, 2016 03:03 AM EDT

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Kevin Fang started this project — Sep 11, 2016 02:58 AM EDT

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