Content Recommender

Overview

The purpose of this project is to create accurate movie and TV show recommendations on a platform that allows users to collaborate with each other. This solves the problem of users not having shows or movies to watch and provides personalized recommendations based on their interests.

Features

• Token authentication for secure user registration and login.
• Fetching data from external APIs to gather movie and TV show information.
• User account creation and profile management.
• Ability to mark watched movies or shows for personalized recommendations.
• Collaborative platform where users can friend each other and share movie and show interests.

Technologies Used

The project is built using the MEVN stack (MongoDB, Express.js, Vue.js, Node.js), providing a robust and efficient web application.

Setup

The application is a full-fledged web application and can be accessed online once deployed. No specific requirements or dependencies need to be installed locally.

Usage

1. Visit the application's website and create an account or log in with existing credentials.
2. Navigate to the "Profile" section to update your preferences and mark movies or shows as watched.
3. Explore personalized recommendations based on your preferences and collaborations with friends.

Contributing

At the moment, the project is not open to external contributions.

License

[License information will be added once the project is complete.]