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Build a Movie Recommendation App with OpenAI

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.
Duration 5 Months
Institution Scrimba
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Scrimba.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $56
Total Est. Investment $56

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Build a Movie Recommendation App with OpenAI program at Scrimba are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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