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MovieDome

Movie Recommendation System created using Collaborative Filtering in website and Content based Filtering in ML algorithm such as K Nearest Neighbours.You can get recommended movies by Movie Name Or Genre.

Download the following Datasets from The Movies Dataset

  1. credits.csv
  2. ratings.csv
  3. movies_metadata.csv

Steps to run the project

  1. Clone or download this repository to your local machine.
  2. Get your API key from https://www.themoviedb.org/ and replace YOUR_API_KEY with your API key in static/movieNameRec.js file.
  3. Activate your virtualenv. (if any)
  4. Run the command pip install -r requirements.txt to install the libraries in requirements.txt file
  5. Open your terminal/command prompt from your project directory and run the command python main.py.

Flowchart

Movie Dome

Deployment

The application deployed can be accessed from here

Presentation

You can refer the ppt from here

Resources

You can go through this to know more about the algorithm.

Extra Error

If you encounter Python/Docker ImportError: cannot import name 'json' from itsdangerous then just put itsdangerous==2.0.1 in your requirements.txt and run the command pip install -r requirements.txt to update your virtualenv.