This folder houses the companion notebooks for the "Build with AI" video series, along with code examples from mobile app demos. Here you'll find practical examples and ready-to-run code to help you bring AI-powered features to life.
| Folder | Description |
|---|---|
| Business email assistant | Business Email AI Assistant with Gemma This project tackles the specific problem of extracting order information from emails to a bakery into structured data, so it can be quickly added to an order handling system. |
| Personal code assistant | Personal AI Code Assistant with Gemma This project shows you how to set up your own web service for hosting Gemma and connecting it to a Microsoft Visual Studio Code extension, to make using the model more convenient while coding. |
| Spoken language tasks | Spoken Language AI Assistant with Gemma Learn how to tune a model to perform specific tasks in a specific language, without requiring extensive data or training time. |
| Folder | Description |
|---|---|
| Gemma on Android | Android app to deploy fine-tuned Gemma-2B-it model using MediaPipe LLM Inference API. |
| PaliGemma on Android | Inference PaliGemma on Android using Hugging Face and Gradio Client API for tasks like zero-shot object detection, image captioning, and visual question-answering. |
| Folder | Description |
|---|---|
| PaliGemma 2 on Web | Inference PaliGemma 2 on the web using its ONNX weights and Transformers.js for tasks like object detection, image captioning, OCR, and visual Q&A. |
| Gemma 3 on Web | Run the Gemma 3 270M model on the web using its ONNX weights and Transformers.js, focusing on chat capabilities along with customization of the system prompt. |
| Emoji Gemma on Web | Learn how to fine-tune a Gemma 3 270M model for emoji translation and run it client-side in the browser using MediaPipe LLM Inference API or Transformers.js. |
| Folder | Description |
|---|---|
| Gemma on Cloud run | This folder contains a Dockerfile for building and deploying a Gemma-powered application on Cloud Run, featuring Gemini APIs. |