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Movie Recommendation System

✍  Project at a glance:

  1. The Recommendation System is made on the concept of Content Based Filtering.
  2. The end user enters name of the name of the movie and top 5 similar movies are recommended back to the user.
  3. The system recommends top 5 movies based on processed cosine similarity of various features.
  4. The system was successfully deployed on web through Flask. Note: The dataset is used from Code Heroku.

pexels-pixabay-265685

📂  RELEVANT TECHNOLOGY STACK

  • ML
  • Python 3
  • Feature Engineering
  • Text Processing
  • Flask
  • HTML

💻  GETTING STARTED

=> Fork this repository to start contributing.

=> Open your Git Bash command window and in the root directory type the following commands :

    1) git init -initializes the git repository from the GitHub. 
    2) git clone -Clone the repository to your local machine
      (git clone https://github.com/<your-github-username>rohitgit1/Movie_Recommendation_System.git)