Movie recommender System

Inspiration -

Sometimes we have to find a movie according to our interest but it not so easy to remember the names. This inspires me to make this system.

What it does -

it recommends top 5 movies similar to the content that you searched.

How we built it -

1) collecting and Cleaning data is the first step 2) Tokenization using NLP 3) Converting tokens to vectors 4) Filtering top 5 movies similar to content 5) deploying project to web using python library called "StreamLit"

Challenges we ran into -

Tokenization

Accomplishments that we're proud of -

Great accuracy.

What we learned -

skills to be used with NLP and data science

What's next for Movie recommender System -

we can use CNN for better classification.

Built With

• natural-language-processing
• numpy
• pandas
• python
• streamlit