A machine learning-powered recommendation system for personalized movie, book, and song suggestions.
It features a dataset of 62,000+ movies, 25M reviews, and 150,000 books.
Future plans include improving recommendation accuracy, expanding content, and integrating user profiles.
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Demo day video
Tech stack
Python
FastAPI
SciKit-Learn
Google Cloud
Next.js
TypeScript
Tailwind CSS
Meet the team
Ricard Pons
Bruno Ariza
Steven Harrast
Leonardo Cortes
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