Inspiration: We like watching movies and sometimes we just can't decide which one to watch.
What it does: Recommends movies based on the movie genre and description.
How we built it: We used a Kaggle dataset and trained a recommendation model.
Challenges we ran into: We had to go through multiple projects before deciding on this one. We had to account for different things like setting up things that had not been set up before.
Accomplishments that we're proud of: Finally deciding on a project where we can work as a group.
What we learned: There is a lot more that goes into creating a project than was expected.
What's next for Movie Recommender System:
A interface that a user can interact with.
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