🎬 Movie Recommender System

A simple movie recommendation app built with Python and Streamlit.
Pick a movie and the app suggests 5 similar movies. No API key required.

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📌 Features

• Recommend top 5 similar movies.
• Easy web UI using Streamlit.
• Works fully offline with local pickles (movies.pkl, model.pkl).

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🛠 Technologies Used

• Python
• Pandas & NumPy
• scikit-learn (TF-IDF / cosine similarity)
• Streamlit (UI)

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🚀 Quick Start (local)

1. Clone the repo: git clone https://github.com/uday-codes69/movie-recommender.git cd movie-recommender

2. Install depedencies: pip install -r requirements.txt

3. Run the App: streamlit run app.py

movie-recommender/ ├── app.py # Streamlit app ├── movies.pkl # Movie dataset (DataFrame with 'title' column) ├── model.pkl # Similarity matrix (numpy array or pickle) ├── requirements.txt # Python dependencies ├── README.md