> For the complete documentation index, see [llms.txt](https://guide.palletml.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.palletml.com/master.md).
# Machine Learning on Mobile
## 👋 Welcome to Pallet
* **Deploy** custom machine learning models to mobile **without code**, and try them in the **real world**
* **Share** a link to any model with one tap
* Make **predictions** with **state-of-the-art** models anytime
* **Explore** dozens of models made by the ML **community**
## Background
The technology for building AI-enhanced applications is more accessible than ever before, but the process of actually building & distributing these 'smart apps' can still be a challenge.
Pallet is a no-code platform that enables you to **quickly turn machine learning models into shareable apps**, and access them anytime through a simple consistent interface.
## Get Started
* Create your first no-code smart app in less than 10 minutes:
{% content-ref url="/pages/-MMEc-O4zIXHIjinxTB0" %}
[Your First No-Code Smart App](/getting-started/tutorials/your-first-no-code-smart-app.md)
{% endcontent-ref %}
* Explore Pallet**:**
[Download the app](https://play.google.com/store/apps/details?id=com.palletml.app) then check out the [Explore](/explore-1/explore.md) section of this guide to see everything you can do:
[
](https://play.google.com/store/apps/details?id=com.palletml.app)
{% content-ref url="/pages/-MMEoU4blnyOC0eCWSim" %}
[Explore Pallet](/explore-1/explore.md)
{% endcontent-ref %}