Inspiration
We originally started with an app that would rate an uploaded picture for attractiveness, but decided to go the more PC route and have it rate websites instead.
What it does
Ugly and pretty websites are fed into a neural net to train the classification system.
How I built it
A ML framework was used to ingest and train the neural net and the Flask front end was built to take screenshots given a URL and to feed that into the classification algorithm.
Challenges I ran into
Learning Python and Flask at the same time while trying to understand ML was difficult.
Accomplishments that I'm proud of
We managed to get training sets and classifications working.
What I learned
Python
What's next for Interest Rate
Improvements to UI and more sophisticated learning.
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