We liked the awareness part of the hackathon. It sounded interesting, not too easy but not too difficult.

What it does

It trains 2 neural networks to detect a bias in the news source, given a link.

How we built it

used libraries to create a webscraper and 2 varieties of neural networks in python. The two neural networks are Multinomial Naive Bayes and Linear Support Vector Classifier

Challenges we ran into

unclear functions in libraries, especially numpy

Accomplishments that we're proud of

actually getting it to work.

What we learned

we learned how to webscrape, what websites can be webscraped & use neural networks/matrices.

What's next for NomaHacks19

I would of liked to add a python webserver that would allow people to submit links and get a response back to the webpage.

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