Foreseeing the success of your hack
We know our hack can be the winner of HackNotts. How can we prove it?
HackProphecy scrapes 35,000+ hacks metadata from DevPost (sorry!), and feeds these to a machine learning algorithm. It predicts whether any given hack could be winner or not based on some natural language processing and support vector machine algorithm.
We can boast an ~94% accuracy.
Project is now online at http://hackprophecy.veniversum.me/, hosted on OpenShift PaaS cloud.
Still working to get external connections to work on OpenShift, in the meanwhile the following projects should work as demo search terms for the project:
call-serena-button dogfight-elite-vr cronforce-time-tracking-for-jira-dis5by study-1g65v4 updated-issues-basket my-ride rest2ddp teamdocs vais bussi-zg9eqf cycle-control fishhackaton smiley powagri criziz-tyuvo export-recover-exchange-edb-to-pst-converter pray-it-forward-ybna9 sharemail sahara-s3zdw4 lucidchart-onprem-for-confluence-server the-night-cafe-an-immersive-tribute-to-vincent-van-gogh spell-script knowfish sticky-mail delveclassifier dataless-ob3caj the-bouncinators kickback fuji shipply neos-the-universe
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