N-FLIX

This is a machine learning based movie recommendation program with a mobile frontend (iOS).

Technologies

Movie Recommendation Machine Learning Model

• Python
• Pandas
• NumPy
• Scikit-Learn
• Jupyter Notebook

Backend

• Python
• tmdbv3api
• FastAPI

Frontend

• Swift
• SwiftUI

GIF Walkthrough

Testing the Model

iOS Application

Project Details

• Machine Learning Model

  • It utilizes the comprehensive TMDB Movie Metadata dataset from Kaggle, available at TMDB Movie Metadata, to power the movie recommendation model.
  • The model generates 10 movie recommendations, filtered by demographic and content.

• APIs

  • tmdbv3api is used to interact with the TMDb API.
  • FastAPI is used to create APIs.

• Frontend

  • SwiftUI is used to develop a responsive mobile application for iOS devices.

Contact

Elliott Larsen

• Email elliottlrsn@gmail.com
• GitHub @elliottlarsen
• LinkedIn @elliottlarsen