Build A Netflix Like AI-Powered Movie Recommendation System with Python 🎬💡

Build A Netflix Like AI Recommendation System Using Python

Welcome back, everyone! Today, we’re diving into the exciting world of artificial intelligence and recommendation systems!

Have you ever wondered how Netflix magically suggests the perfect shows based on your viewing history? Well, in this article, I’ll show you how to build a Netflix-style AI recommendation system using Python!

Whether you’re a beginner or a seasoned coder, I’ll break it all down step by step — covering concepts like TF-IDF, cosine similarity, and feature extraction so you can understand how recommendation algorithms work and how to apply them to your own projects!

How AI-Based Recommendations Work 🎥🤖

Recommendation systems analyze past user behavior and content similarities to suggest movies or TV shows you might enjoy.

Our Python program will:
✅ Convert movie descriptions into numerical representations using TF-IDF.
✅ Calculate similarities between movies using cosine similarity.
✅ Recommend top 5 similar movies based on a selected title.