Movie-Mate

MovieMate

MovieMate is a personalized movie recommendation system developed by Nidha Ahmed. It leverages machine learning algorithms to suggest movies based on user preferences and similarities between movies.

Features

• Personalized Recommendations: Get tailored movie suggestions based on your preferences.
• User-Friendly Interface: Simple and intuitive interface for easy navigation.
• Responsive Design: Optimized for various devices, including desktops, tablets, and mobile phones.
• Search Bar Dropdown Menu: List of all movies available for selection in the search bar dropdown menu.
• Recommend Button: Click the “Recommend” button to get personalized movie recommendations.
• Machine Learning Model: Uses a machine learning model to generate 5 recommended movies based on the selected movie.

Getting Started

To use MovieMate, follow these steps:

1. Clone the repository to your local machine.
2. Install the required dependencies using pip install -r requirements.txt.
3. Run the application using streamlit run app.py.
4. Enter the name of the movie you want to compare.
5. Click the “Recommend” button to get personalized movie recommendations.

Technologies Used

• Python
• Streamlit (if not runnable on GitHub, use original functionality)
• Pandas
• Scikit-learn
• NLTK
• Pickle

Contributors

• Nidha Ahmed - GitHub Profile

License

This project is licensed under the GNU GENERAL PUBLIC LICENSE - see the LICENSE file for details.

Acknowledgements

• The Movie Database (TMDb) for providing movie data.
• Streamlit for enabling rapid development of interactive web applications.

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