movie_recommendor

🎬 Movie Recommender System

A content-based movie recommendation web app built using Python, Streamlit, and scikit-learn. This app recommends similar movies based on the selected title and displays their posters using the TMDb API.

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📌 Features

• 🔍 Select a movie and get 5 similar movie recommendations
• 🖼️ Fetch movie posters dynamically using TMDb API
• 🧠 Uses cosine similarity on movie tags for recommendation
• 💡 Built with Streamlit for an interactive web UI

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🛠️ Technologies Used

Python Pandas, NumPy Scikit-learn Streamlit TMDb API

🧪 How It Works

1. Movie titles and tag features are preprocessed and saved into .pkl files.

2. When a user selects a movie from the dropdown, the app: -Finds similar movies using cosine similarity -Fetches posters for the top 5 matches via TMDb API

🔐 TMDb API Key

To fetch movie posters, you need a free TMDb API key. Replace your_api_key_here in the code with your own API key:

api_key = “your_api_key_here”

🚀 Demo

Run the app locally: ```bash

streamlit run app.py