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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