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Movie Recomendation System

This project is a simple movie recommendation system built using Streamlit for the interactive UI and Pickle for model serialization. It recommends movies based on user-selected inputs and displays the movie posters alongside the recommendations.

Features:

Provides movie recommendations based on a similarity model.
Fetches and displays posters using the TMDB API.
User-friendly interface built with Streamlit.

How it works:

Select a movie from the dropdown.
Click the 'Show Recommendation' button to display five recommended movies with their posters.