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