Movie-Recommender-System

Movie Recommender System using Machine Learning

A movie recommendation model using machine learning is a system that uses various data points to suggest movies to users. The model typically takes in data about a user's past movie preferences, such as movies they've rated highly or genres they enjoy, as well as information about the movies themselves, including their genres, actors, directors, and release dates.

Project Demo

Languages/Tools

👇🏽 Prerequisites

Before installation, please make sure you have already installed the following tools:

• Git

🛠️ Installation Steps

• Fork the project. Click on the icon in the top right to get started.

• Use these commands in your git bash to make a clone of the project on your pc.

SSH Github Docs

$ git clone [email protected]:username/Movie-Recommender-System

GitHub CLI

$ gh repo clone username/Movie-Recommender-System

HTTPS

$ git clone https://github.com/username/Movie-Recommender-System

• Navigate to the project directory:

cd Movie-Recommender-System

🔥 Add your profile

1. Fork the project:

• Click the gray Fork button at the top right of this page. This creates your copy of the project and saves it as a new repository in your GitHub account

2. Create a New Branch:

• On your new repository's page, click the gray main button in the upper left to reveal a dropdown menu.
• Enter the name of your new branch in the text box. (Branch names usually make a reference to what is being changed. Example: profiled).
• Click on Create branch <new branch name> and this will automatically take you to your new branch. You can make edits on the main branch, but this may cause issues down the line. Best practice is to create a new branch for each separate issue you work on. That way your main branch remains in sync with Movie-Recommender-System main branch.

3. Edit:

• On the top right of the JSON file, click on the pencil icon to edit the file by adding your image, name, and username.
• You can add JSON object wherever you want in the file, it will automatically arrange according to alphabetical order.
• After editing the JSON file, add a commit message and click on the green button saying "Commit Changes". Make sure you have selected the branch you have created.

5. Raise a Pull Request:

• And finally create a Pull Request!
• Great job! You did it!

🚀 Running locally

To run locally, just cd into the project and run the following commands to run node modules and serve the website locally.

Run file Movie-Recommender-System/streamlit_app.py