Inspiration

All the annoying and misleading articles about the most important of things in our world today.

What it does

Uses a variety of machine learning techniques (deep neural networks, sentiment analysis, and community apis) to determine credibility.

How we built it

From the ground up! We created various modules that performed different techniques on our data set in order to produce the most accurate model possible.

Challenges we ran into

The project was quite ambitious and required a lot of time and effort.

Accomplishments that we're proud of

Getting some of the deep neural libraries that we found to work was a happy moment over the weekend.

What we learned

We learned a lot of new things about machine learning and article analysis.

What's next for Covfefake

Who knows! Possibly more machine learning analysis and more robust techniques.

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