Build a Movie Recommendation App with OpenAI

Build a Movie Recommendation App with OpenAI

Instructor: Rafid Hoda

What you'll learn

Build a personalized movie recommendation app using AI embeddings and vector databases.
Integrate APIs such as OpenAI for text generation and external movie poster services to enhance the user experience.
Craft a responsive user interface based on provided Figma files for individual and group movie night recommendations.

Skills you'll practice

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Taught in English

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About this Guided Project

In this project, you'll develop Pop Choice, an AI-powered movie recommendation app designed to simplify the decision-making process for movie night.

Using AI embeddings, vector databases, and the OpenAI API, the app will recommend the perfect movie based on user preferences gathered through a series of open and close-ended questions. Users input their mood and preferences, and the app searches a database of movies to find the best match. As a stretch goal, the app can be adapted for group recommendations, with each participant's preferences being taken into account. You'll build this project from scratch, using any framework you prefer, like React or vanilla JavaScript, and integrate a vector database, such as Supabase. The provided data includes movie details like title, plot, cast, and IMDb ratings. This project emphasizes working with embeddings, querying databases, and generating personalized outputs using AI.

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

Set up project files and OpenAI/Supabase integration.
Style the app interface based on provided Figma files.
Collect user responses through open and close-ended questions.
Convert user responses into embeddings.
Query the movie database using the embeddings.
Display the recommended movie and its details (title, plot, etc.).
Generate AI-based explanations for the recommendations.
Implement group movie selection for multiple users.
Add movie poster display using an external API.
Create a "next movie" button for additional suggestions.

Recommended experience

This project is designed for intermediate to advanced web developers. Not there yet? Explore our AI Engineering Specialization here on Coursera.

1 project image

Instructor

Rafid Hoda

Scrimba

6 Courses1,929 learners

Offered by

Scrimba

How you'll learn

Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.