🎬 FilmFusion – Movie Recommendation System

FilmFusion is a Streamlit-based web application that recommends movies using content-based filtering and also showcases trending titles using the TMDb API. Users can search for a movie to get personalized recommendations based on metadata like genres, cast, crew, and keywords.

🔗 Live Demo: https://movie-recommendation-system-8iue.onrender.com/

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✨ Features

• 🔍 Search & Recommend: Get AI-powered movie suggestions based on a selected title.
• ⭐ Trending Movies: Displays weekly trending movies via TMDb API.
• 🧠 Content-Based Filtering: Uses cosine similarity on metadata features.
• 🖼️ Rich UI: Card-style interface with hover effects and movie posters.
• ⚡ Fast & Lightweight: Runs on Streamlit with efficient back-end processing.

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🛠️ Tech Stack

• Frontend: Streamlit
• Backend: Python, Pandas, Scikit-learn
• APIs: TMDb API
• Others: Pickle for serialized model data, Jupyter for development

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🚀 Installation

Follow these steps to run the project locally:

1. Clone the repository:

   git clone https://github.com/Sahil-Gupta-AI/Movie_Recommendation_System.git
   cd Movie_Recommendation_System