🎬 Movie Recommendation System

This Movie Recommendation System is a Python-based application that leverages machine learning and natural language processing techniques to provide movie recommendations based on user preferences and movie characteristics.

🔥 Key Features:

• Content-Based Recommendation: Recommends movies similar to the one you select, based on movie details such as genre, keywords, cast, and crew.
• Interactive User Interface: Use the Streamlit web app to search for movies, rate them, and receive personalized recommendations.
• Data Analysis: Explore movie data, including details like budget, genres, and keywords, to better understand the dataset.

🛠️ Technologies Used:

• Python
• Pandas
• NumPy
• Scikit-learn
• Streamlit
• IMDbPY
• The Movie Database (TMDb) API

📦 Installation:

To run the Movie Recommendation System on your local machine, follow these steps:

1. Clone this repository.
2. Install the required libraries using pip install -r requirements.txt.
3. Run the Streamlit app with streamlit run app.py.

🤝 Contributing:

We welcome contributions from the open-source community!

📧 Contact:

For questions or feedback, you can reach out to us at [diwkr14@gmail.com].

🙏 Acknowledgments:

We extend our gratitude to the creators of the IMDbPY library and The Movie Database (TMDb) API for their invaluable data and resources.