How I built a movie suggestion app with zero ML experience

A developer built a real-time movie recommendation app using Shaped, a relevance database that packages data storage, machine learning models, and query interfaces into one API. Using the MovieLens dataset of 100,000 movie ratings, they created a single model that powers personalized recommendations, semantic search, similar movie suggestions, and genre filtering without requiring deep machine learning knowledge.