Teachable Machine — Project chooser

Forms & OnboardingSee it liveteachablemachine.withgoogle.com

A machine-learning tool starts with a choice of image, audio or pose project.

Teachable Machine — Project chooser — captured interface — Viewport capture · opening screen

Source capture · 2026-09-05Open full image ↗

Forms & onboarding AI interfaces

Why this pattern works

Help users choose a workflow by input type, using concrete images and short explanations.

Design notes

Surface: A machine-learning tool starts with a choice of image, audio or pose project.
Navigation: A compact brand bar sits above the project chooser.
Layout: Three visual cards describe project types; existing-project options appear above them.
Density: Low density with one clear decision.
Color: Light grey canvas, white cards and blue accents.
Type: Bold section and card headings with short plain-language descriptions.
Pattern: Help users choose a workflow by input type, using concrete images and short explanations.
States: Initial project chooser; no camera, microphone or file access requested.
Don't: Adapt the layout to your own product and supported capabilities; write your own examples and keep important actions clearly labeled.

Make it your own

Turn this reference into a useful brief for your project. Copy it into the AI tool you already use.

Your project

Use withI want to

Tech stack

Add constraints

What should the tool respect?

Preview & edit prompt

Prompt text

# My project
[Describe the product, audience, and screen you want to improve]

Stack: Use the existing project stack
Task: Implement the interface and verify the result in the existing project.

## Tool guidance (Any AI tool)
Use available project tools to inspect, implement, and test. State any unavailable capabilities.

# Design reference: Teachable Machine — Project chooser
Source: https://teachablemachine.withgoogle.com/train
Swipefile reference: https://swipefile.design/ref/ai-teachable-machine/
Captured: 2026-09-05. This is a dated reference, not a claim about the current live product.
Capture scope: one viewport. Do not infer unseen page sections or a complete user flow.

## Objective
Adapt the interaction and layout patterns below to my project. Use my own content and identity. Do not reproduce logos, proprietary copy, or brand assets.

## Reference notes
- surface: A machine-learning tool starts with a choice of image, audio or pose project.
- nav: A compact brand bar sits above the project chooser.
- layout: Three visual cards describe project types; existing-project options appear above them.
- density: Low density with one clear decision.
- color: Light grey canvas, white cards and blue accents.
- typography: Bold section and card headings with short plain-language descriptions.
- pattern: Help users choose a workflow by input type, using concrete images and short explanations.
- states: Initial project chooser; no camera, microphone or file access requested.
- dont: Adapt the layout to your own product and supported capabilities; write your own examples and keep important actions clearly labeled.

Useful for: Help users choose a workflow by input type, using concrete images and short explanations.

## Acceptance criteria
- Existing project conventions, design tokens, working functionality, and unrelated changes are preserved.
- Two or three reference principles clearly support the user's task; conflicts are resolved in favor of usability and the existing product.
- Reusable components and semantic HTML express the interface. Available licensed assets are used; important UI text is never rendered as a bitmap.
- Every visible control has a defined behavior. Loading, empty, error, success, disabled, and long-content states are specified where relevant. Demo data is clearly labeled.
- Navigation and content adapt at 375px, 768px, and 1440px without horizontal page overflow. Keyboard use, visible focus, labeled inputs, at least 44px touch targets, readable contrast, and reduced motion are supported.
- Verification distinguishes rendered behavior from proposals and identifies anything still requiring a backend or external service.

## Quality bar
Clear hierarchy, consistent spacing, restrained surfaces, and purposeful motion. Avoid decorative gradients, excessive cards, placeholder buttons, and invented metrics unless the project calls for them. Do not claim a feature is connected or tested without evidence.

Assembled in your browser. No API key or AI request needed. Changing the fields refreshes the preview.

## Objective
Adapt the interaction and layout patterns below to my project. Use my own content and identity. Do not reproduce logos, proprietary copy, or brand assets.

Useful for: Help users choose a workflow by input type, using concrete images and short explanations.

Teachable Machine — Project chooser

Make it your own

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