Let's start by creating the main structure of our application:

This implementation creates a basic structure for the Rhinoplasty AI Visualizer. Here's a breakdown of the components:

1. The main page (app/page.tsx) displays the title and the upload form.
2. The UploadForm component (components/upload-form.tsx) handles file selection and submission.
3. The API route (app/api/process-image/route.ts) simulates AI processing using the AI SDK.
4. The results page (app/results/page.tsx) displays the original and modified images side by side.

To make this a fully functional demo, you would need to:

1. Implement actual image processing logic in the API route, possibly by integrating with a real AI model or service.
2. Handle image storage and retrieval, as the current implementation uses temporary URLs which won't persist.
3. Add error handling and loading states to improve user experience.
4. Implement additional nose shape options and allow users to choose between them.

This demo showcases the basic user flow and interface for the Rhinoplasty AI Visualizer. Users can upload a photo, and the application simulates processing it to show a before-and-after comparison. The UI is clean and user-friendly, utilizing shadcn/ui components for a polished look.

To further develop this project, you might consider:

1. Integrating with a real AI model for accurate nose shape modifications.
2. Adding more customization options for users (e.g., different nose shapes, sizes).
3. Implementing user accounts and saving of results.
4. Adding a gallery of example transformations.
5. Improving the UI with animations and transitions for a more engaging user experience.

Remember that while this tool can be helpful for visualization, it's important to include disclaimers about the limitations of AI-generated images and encourage users to consult with medical professionals for any actual medical decisions.