Movie Recommender Web App

Welcome to our Movie Recommender Web App! This web application allows users to input a movie title and receive personalized movie recommendations based on our advanced recommendation algorithm. It's powered by cutting-edge data science techniques, making your movie-watching experience even better!

Features

• User-Friendly Interface: Simple and intuitive interface for easy navigation.
• Personalized Recommendations: Get tailored movie suggestions based on your input.
• Data-Driven Recommendations: Powered by our powerful data science model, ensuring high-quality suggestions.
• Quick and Responsive: Fast processing to provide instant recommendations.

How to Use

1. Input Movie Title: Enter the title of a movie you like into the input field.
2. Receive Recommendations: Instantly get a list of top movie recommendations based on your input.

Tech Stack

• Backend: Python, Streamlit
• Frontend: HTML, CSS, JavaScript
• Data Science: Pytorch, Scikit-learn, Pandas

Setup Instructions

1. Download the Dockerfile. Or clone the repository:

git clone https://github.com/ADS-2023-TH3/falcon_ml.git && cd falcon_ml

2. Build the Docker image:

docker build --no-cache -t falcon-deploy .

3. Run the Docker image at port 8501:

docker run --rm -p 8501:8501 --name falcon-deploy falcon-deploy

4. Open the web app in your browser: http://localhost:8501

Contributing

We welcome contributions from the community! If you find any issues or have suggestions for improvements, feel free to open an issue or create a pull request.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.