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Movie Recommendation Web Application

This project is a full-stack web application that provides movie recommendations to users based on their ratings on movies. The application is containerized using Docker, making it easy to set up and run.

Features

  • Movie recommendation system using SVD algorithm
  • Interactive and responsive user interface with React and Next.js
  • RESTful API with Node.js and Express
  • User authentication using JWT
  • Data storage with MongoDB
  • Containerized with Docker for easy deployment

Technologies Used

  • Frontend: React, Next.js
  • Backend: Node.js, Express, MongoDB
  • Algorithm: SVD (Singular Value Decomposition) implemented in Flask
  • Containerization: Docker

Architecture

  • Client: React and Next.js
  • Server: Node.js with Express following the MVC pattern
    • Routes
    • Controllers
    • Services
  • Database: MongoDB
  • Authentication: JWT stored in cookies
  • Recommendation System: Flask API running the SVD algorithm

Setup and Installation

Clone the repository:

git clone https://github.com/DavidKras95/URL-Shortener-Service.git

Run Docker Compose:

 docker-compose up -d

Usage

Open your web browser and go to http://localhost:3000 to access the client application. Register or log in to access the movie recommendation features. Use the application to receive movie recommendations based on your preferences