Inspiration
Recommendations on apps like Youtube and Netflix inspired us to make this project.
What it does
It recommends movies after analyzing the user's activity.
How we built it
We built it with performance matrices with the help of python libraries.
Challenges we ran into
It seemes difficult to import a lot of libraries under one file.
Accomplishments that we're proud of
That now a last our service is ready to provide help whenever needed.
What we learned
That it requires a lot of concentration to complete such a project.
What's next for Movie Recommender
It will try recommend as many movies it can to its user for better experience.
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