Dream Catcher

Dream Catcher is a full-stack project that leverages machine learning models to generate images based on a dream's description.

The project uses a frontend developed with Next.js and Ant Design and a backend developed with FastAPI. Images are generated by a Python script that integrates a pre-trained machine learning model.

Features

• Users can input their dream description, and the system will generate corresponding images.
• The user interface displays the dream's description along with the generated images.
• Users can regenerate an image for a specific part of the dream by clicking on a "refresh" button on the image.

Getting Started

Clone the repository and install the dependencies:

npm install
npm run dev

Open http://localhost:3000 with your browser to see the result.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT