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Movie Recommendation System

Overview

This project implements a Movie Recommendation System using a machine learning model trained on the TMDB 5000 Movies dataset. The system includes a Flask API for serving recommendations and an Angular-based user interface.

Features

  • Machine Learning Model: The recommendation system uses a machine learning model trained on the TMDB 5000 Movies dataset to provide personalized movie recommendations.

  • Flask API: A Flask-based API is implemented to serve movie recommendations generated by the machine learning model. The API endpoints are designed to be easily integrated into different applications.

  • Angular UI: The user interface is developed using Angular, providing an interactive and user-friendly experience for users to explore and receive movie recommendations.