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Engage22-Project

Movie-Recommender-System A Web Base user-item Movie Recommendation Engine using content based By cosine similarity algorithm and The recommendation based on the underlying idea that is Cosine similarity is a metric used to measure how similar two items are. Mathematically, it measures the cosine of the angle between two vectors projected in a multi-dimensional space.

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Technologies Used Web Technologies python

Machine Learning Library In Python3

Numpy , Pandas , streamlit ,pickle , ast ,nltk,request

Requirements python 3.6

pip3

Setup to run Extract zip file in your system

Open terminal/cmd promt

Goto that Path

activate

To install Dependencies

pip install -r requirements.txt

Creating Local Server

Goto your folder directory where you download it, example

cd ../Movie-Recommender-System/src

To run command:

streamlit run app.py

Now open your browser and go to localhost address

Instruction: API Key ->

website link : https://www.themoviedb.org/settings/api

username : vaibhav1918

password : jain1918

Thank you for visiting my repository.