Inspiration

Integrating Law and Policy with Computer Science to provide effective solutions and services for companies

What it does

Save businesses money by telling them what tariffs their imported products best fit (avoid fines and can argue for lower, vague tariffs)

How we built it

Jupyter Notebook

Challenges we ran into

Jupyter Notebook was not optimal for this project but was the most comfortable ide for us as beginners. We wanted to use Sent2Vec, but after realizing how complicated it is, we had to fall back to Word2Vec. In addition, it was hard to find the best sources we needed.

Accomplishments that we're proud of

We're proud of learning more about ML/AI and Python.

What we learned

ML/AI and Python

What's next for Team 199 HACKGT 8

Hopefully finally make the final product we hoped to make!

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