AI Projects with Raspberry Pi — out now! Artificial intelligence (AI) isn’t just a data centre humming away inside a gigantic warehouse. It is also the single-board computer sitting on your desk, wired up to your smart home equipment, running models locally, securely, and privately. This is the spirit behind our latest book: AI Projects with Raspberry Pi. This is a hands-on guide to discovering real-world AI applications with Raspberry Pi hardware. These aren’t toy demos, but rather projects you can build, run, and point to and say, “I made that”. Program it right and you might even get a spoken reply. What’s inside The book covers a broad range of AI applications, all of them running on a Raspberry Pi: - Computer vision — recognise and classify what’s in front of a camera or inside files. We cover both image recognition and video recognition. - Python and predictive modelling — work with the regression-style workhorses behind most practical data science. - Speech to text (and vice versa) — convert speech to text, generate speech from text, and use spoken commands to control local devices. - Linguistics — perform audio transcription, language translation, and processing. - Sensor data — gather sensor data on a Raspberry Pi Pico. Use Python to train a machine learning model on your Raspberry Pi, then deploy the model on the Raspberry Pi Pico, where you’ll perform real-time inference. - Large language models — run genuine LLMs locally on Raspberry Pi hardware and the Raspberry Pi AI HAT+ 2 accelerator. Run chatbot-style services securely, privately, and locally at the edge. - Image generation — use Stable Diffusion techniques to generate images with Raspberry Pi hardware. - Model training — discover how models are trained with test and training data. Slice and dice MobileNet and retrain it