Inspiration
Markov chains can make some pretty hilarious content, and twitter is a good resource.
What it does
Creates a "fake" tweet based off of a user's past tweets. It does this through a Markov chain.
How we built it
Lots of python.
Challenges we ran into
Moving data from front end to back end.
Accomplishments that we're proud of
Accuracy of the finished product.
What we learned
How to use flask.
What's next for Tweet Generator
Being able to post the tweets to one's twitter.
//A DEMONSTRATION WILL BE PERFORMED :)
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