🎬 Movie Recommendation System

A content-based movie recommendation system built using Python, Flask, and Machine Learning.
The application recommends movies similar to a selected movie based on content similarity and displays movie posters using the TMDB API.

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📌 Features

• Content-based movie recommendations
• Cosine similarity for measuring movie similarity
• Flask-based web application
• TMDB API integration for movie posters
• Clean and responsive user interface
• Secure handling of API keys using environment variables

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🧠 How It Works

1. Movie metadata is processed and vectorized.
2. Cosine similarity is used to compute similarity between movies.
3. When a user selects a movie, the system recommends the top 5 similar movies.
4. Movie posters are fetched dynamically using the TMDB API.

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🛠️ Tech Stack

• Python
• Flask
• Pandas
• Scikit-learn
• NumPy
• HTML / CSS
• TMDB API

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📂 Project Structure

Movie-Recommender_System/
│
├── app.py
├── requirements.txt
├── templates/
│   └── index.html
├── static/
│   └── style.css
├── model/
│   └── (model file not included)
└── movie_recommendation_system.ipynb