Inspiration
Eastbanc AI Washington Post Challenge
What it does
Takes a user's input and checks with our database to see if the article title is fake or not.
How we built it
We assigned a value between 0 and 1 depending on the contents of an article title and used a KNN sklearn model in Python to predict similar articles.
Challenges we ran into
We had to convert the initial strings to ASCII code and then normalize between 0 and 1.
Accomplishments that we're proud of
We learned a lot about string to integer conversion and conforming data to make an AI work.
What's next for Don't Fake It
We need to improve usability by embedding the AI directly in our site instead of redirecting to a different link.
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