/Movie_Recommendation

Primary LanguageJupyter Notebook

Movie Recommendation System


This is an ML project that uses KNN (K nearest neighbors) [k = 4] algorithm to recommend movies to a user based on features such as ratings, cast, crew, etc. It uses NLP methods to make the text data ready for the model.




👨‍💻 Techstack

  • Flask
  • Javascript
  • HTML
  • Tailwind
  • Python

My Skills




💻 Code setup

Clone the code repository

git clone https://github.com/RushabhM03/Movie_Recommendation.git

Create a virtual environment

Run the commands from the base folder

python -m venv env_name
env_name/scripts/activate (for Windows)
pip install -r requirements.txt

Modify the API keys in the environment variable file (.env) After this run the following commands from the base folder

POSTER_IMAGE_PATH="https://image.tmdb.org/t/p/w500/"
SECRET_KEY=" mention any secret key "
GOOGLE_CLIENT_ID="your client id"
MAIL_PORT=465
MAIL_SERVER="smtp.gmail.com"
MAIL_USERNAME=" your email"
MAIL_PASSWORD=" your password "
NEWS_API_KEY=" your news API Key "

Create a client_secret.json file and alter it according to your google account

{
    "web":{
        "client_id":"your project URL",
        "auth_uri":"https://accounts.google.com/o/oauth2/auth",
        "token_uri":"https://oauth2.googleapis.com/token",
        "auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_secret":"your secret key",
        "redirect_uris":["http://127.0.0.1:5000/callback"]
    }
}

Setup Flask app

python app.py




🚀Features

  1. Google account authentication
  2. Movie recommendation
  3. View the Training data set
  4. Get Real-time entertainment news
  5. Working feedback Mail system
  6. UI: Light and dark mode config




👩‍💻Contributors

Team members