Skip to content

This is a movie recommendation system which uses cosine-similarity. Movie data is fetched from https://www.themoviedb.org/ . Check out the backend at https://github.com/Saksham-1508/movie-recom-backend

Notifications You must be signed in to change notification settings

Saksham-1508/Pro-Recommender

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation


Pro Recommender

An awesome movies recommendation app to help you with your daily entertainment!


Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Contributing

About The Project

HomeScreen


(back to top)

Built With

Following libraries/frameworks have been used in this project

(back to top)

Getting Started

Install the following packages and dependencies to get started

Prerequisites

  • npm
    npm install npm@latest -g

Installation

  1. Get a free API Key at https://www.themoviedb.org/ and enter your apikey in tmdbCreds.py in the backend folder and Creds.js in /src/components/Creds.js
  2. Clone the repo
    git clone https://github.com/samay-rgb/Pro-Recommender.git
  3. Install NPM packages
    npm install
  4. Install following python libraires
    pip install sklearn pandas numpy sklearn flask flask_cors

(back to top)

Usage

Browse over 16000 movies for recommendations using the subtle user interface . You can simply search for a movie or explore some trending movies as well. Currently we have only added English movies to our data. Other langauges movies will be added soon.

  • Open terminal in the cloned repo directory and run the following command
    npm start
  • In another terminal run the following commands
    cd backend
    python main.py

Trending


Loading


Movie


Recommendations

(back to top)

See the open issues for a full list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

(back to top)

Contact

Saksham Yadav- Github LinkedIn- [email protected]

Samay Sagar - Twitter LinkedIn- [email protected]

Project Link: https://github.com/samay-rgb/Pro-Recommender

(back to top)

About

This is a movie recommendation system which uses cosine-similarity. Movie data is fetched from https://www.themoviedb.org/ . Check out the backend at https://github.com/Saksham-1508/movie-recom-backend

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 79.3%
  • JavaScript 13.6%
  • CSS 3.9%
  • Python 2.2%
  • HTML 1.0%