Movie Recommender System

This is a simple content-based movie recommender system build using the TMDB movie Dataset. The app is built using Streamlit, a fast and easy way to create data apps in Python.

Features

• Recommends similar movies based on selected movie.
• Uses cosine similarity on movie features.
• simple and clean UI using Streamlit.
• Poster images fetched from OMDB API.

Usage

• Select a movie from the dropdown list.
• Get 5 similar movies with posters displayed

Technologies Used

• Python
• Pandas
• Scikit-learn
• Streamlit
• OMDB API(for fetching posters)

Use your OMDB API key by generating a new API key from its website for fetching the posters for recommended movies and also you can use your firebase_credential_path to set the user login