Movie Recommendation System
SMIT JS Online Crash Course Final Assignment
Introduction
The Movie Recommendation System is a web application designed to suggest movies based on user preferences. The app is built using HTML, CSS, Bootstrap, and JavaScript. With the help of DOM manipulation, the app can display a list of recommended movies based on the user's selected criteria. In this article, we will explore the different tools and features that were used to build this app and how it works. Check out the website right away
Tools Used
The Movie Recommendation System is built using HTML, CSS, Bootstrap, and JavaScript. HTML is used to structure the content of the web page, while CSS is used for styling the page. Bootstrap is a framework that is used to make the website responsive and mobile-friendly. Finally, JavaScript is used to add interactivity to the web page, such as DOM manipulation, event handling, and data management.
Features
The Movie Recommendation System has several features that make it easy for users to find and select their preferred movies. The app's key features include:
Movie Recommendation Display: The app displays recommended movies based on user preferences, such as genre, rating, and release year. DOM manipulation is used to dynamically update the movie recommendations on the user interface.
User Input: The app allows users to input their preferences, such as genre, rating, and release year, through a user interface. DOM manipulation is used to capture and validate user input.
Movie Data Management: The app utilizes an array of objects in a JSON file to manage movie data. Each object represents a movie with properties such as title, genre, rating, and release year. For loops or forEach functions are used to iterate through the movie data for recommendation logic.
Recommendation Logic: The app uses functions to implement recommendation logic based on user preferences. The recommendation logic involves filtering movies based on genre, rating, and release year, and displaying the filtered movies as recommendations to the user.
Working/Flow:
The Movie Recommendation System works by taking user input and filtering through a JSON file of movie data to generate a list of recommended movies. When a user enters their preferences, such as genre, rating, and release year, the app uses DOM manipulation to capture and validate the input. The input is then used to filter through the movie data, and the app's recommendation logic generates a list of movies that match the user's criteria. The recommended movies are then displayed on the user interface using DOM manipulation.
Conclusion:
In conclusion, the Movie Recommendation System is an effective tool for suggesting movies based on user preferences. By using HTML, CSS, Bootstrap, and JavaScript, the app can dynamically generate and display movie recommendations based on user input. With the app's features such as movie recommendation display, user input, movie data management, and recommendation logic, users can easily find and select movies that suit their preferences.
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