📗 Table of Contents

• 📖 About the Project
  • 🛠 Built With
    • Tech Stack
    • Key Features
  • 🚀 Live Demo
  • 🎥 Presentation
• 💻 Getting Started
  • Setup
  • Prerequisites
• 👥 Authors
• 🔭 Future Features
• 🤝 Contributing
• ⭐️ Show your support
• 🙏 Acknowledgements
• 📝 License

📖 Movie Reccommendation System

A simple recommendation system that suggests movies to users based on their preferences.

🛠 Built With

Tech Stack

• Python
• Jupyter Notebook
• Streamlit

Key Features

• Movie search bar
• Movie titles
• Movie posters

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🚀 Live Demo

Live Demo Link

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📺 Presentation

See the project presentation here

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💻 Getting Started

To get a local copy up and running, follow these steps:

Prerequisites

To run this project you need:

• Python installed and running. To get more information, read the installation guide.

Setup

Clone this repository to your desired folder:

git clone [email protected]:lucy-sees/CodeSoft_RecommendationSystem.git

Install

Install this project with:

pip install -r requirements.txt to install libraries, runs migrations, or compiles resources needed by the app.

jupyter notebook movie_recommendation_system.ipynb to run the data processing and vectorization

streamlit run app.py to run the app on your web-browser.

Usage

To run the project, execute the following command:

streamlit run app.py

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👥 Author

👤 Lucy W. Mwangi

• GitHub: @lucy-sees
• Twitter: @lucy_w_mwangi
• LinkedIn: @Lucy (Wanjiru) Mwangi

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🔭 Future Features

• Improved UI

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🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

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⭐️ Show your support

If you like this project, please consider giving it a star.

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🙏 Acknowledgments

• I would like to thank all code reviewers for making this project better.

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📝 License

This project is MIT licensed.

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