Movie Recommendation

Overview

The Movie Recommendation System is a web-based application designed to provide personalized movie suggestions to users based on their preferences, viewing history, and ratings. The project leverages modern web development technologies to create a seamless and interactive user experience. The frontend is built using HTML, CSS, JavaScript, and React, ensuring a responsive and dynamic interface.

The backend is powered by Node.js for server-side processing, Express.js as the framework to handle routing and middleware, and MongoDB as the database to store user data, movie information, and recommendations.

The frontend, developed with React, allows users to interact with the system effortlessly. Users can create accounts, log in, browse movies, rate films they’ve watched, and receive tailored recommendations. React’s component-based architecture ensures a modular and maintainable codebase, while its state management capabilities enable real-time updates to the user interface. The use of HTML and CSS ensures a visually appealing and user-friendly design, with responsive layouts that adapt to various devices, including desktops, tablets, and smartphones.

On the backend, Node.js serves as the runtime environment, handling server-side logic and communication between the frontend and the database. Express.js simplifies the creation of RESTful APIs, enabling efficient data exchange between the client and server. The system uses MongoDB, a NoSQL database, to store user profiles, movie details, and interaction data. MongoDB’s flexible schema is ideal for handling diverse data types, such as user preferences and movie metadata, while its scalability ensures the system can grow as the user base expands.