Inspiration:

What it does: Explore a bunch of interesting ideas for the given problem staatement

How I built it: Using pytorch and tensorflow (python)

Challenges I ran into: Prioritizing models with potential, cleaning data and working with sparse data

Accomplishments that I'm proud of: Coming up with research level novelties

What I learned: Implementation of NLP models to real world problems

What's next for mind-install: Hopefully another Hackathon XD

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