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!
Log in or sign up for Devpost to join the conversation.