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movie-recommender System

This System is Based on cosine similarity technique. All these analyzing & pre-processing was done by Python

How does code works?

1). Download the zip file and run the "FDM_project_NEW.ipynb" in google colab or juypter notebook which is contain in "colab file" folder

  1. In the "colab file" folder, data set files have been included

  2. put dataset files in the same location which "FDM_project_NEW.ipynb" file is being executed

  3. get the three files from when finished the execution of "FDM_project_NEW.ipynb" file

  4. Analytics part have finished, After start the develop frontend side , In the "frontend" folder has include "main.py" and three files which are extracted from "FDM_project_NEW.ipynb" code file.

  5. open the "main.py" file

  6. Use streamlit platform for the frontend

  7. So we have to setup the environment.

    • To install streamlit, type this command in terminal 'pip install streamlit' * To run the "main.py" 'streamlit run main.py'

this program has deployed to the HEROKU and follow the Link below

      https://fdm-project-movie-recommender.herokuapp.com/

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