Build your own Home Assistant smart home hub on a Raspberry Pi 5 and connect a wireless ESP32 sensor using ESPHome. In this beginner-friendly tutorial, I'll show you how to install Home Assistant OS, set up a Seeed Studio XIAO ESP32-C6, connect a DHT11 temperature and humidity sensor, and bring live sensor data into Home Assistant—all running locally on your network without relying on cloud services. This project is designed for beginners who want to learn Home Assistant, ESPHome, Raspberry Pi, and ESP32 development through a real-world smart home example that can be expanded later into a full home automation system.

Hi all, does any one have a building plan with a detailed b.o.m. and drawings/ STL files to successfully build an articulated robot arm with 3 to 5 joints?

Kick things off by introducing yourself! Share a bit about your background, interests, and any Raspberry Pi projects you're eager to dive into. It's a fantastic way to connect with like-minded enthusiasts from the start. I've also provided an intro template for inspiration—feel free to use it or put your unique spin on your introduction!

Learn how to set up the Seeed Studio XIAO ESP32-C6 in Arduino IDE and build your first blinking LED project step-by-step. In this beginner ESP32 tutorial, we’ll cover Arduino IDE setup, board installation, GPIO basics, LED wiring, uploading code, bootloader troubleshooting, and how microcontrollers interact with real electronics projects. The Seeed Studio XIAO ESP32-C6 is a compact ESP32 microcontroller board with built-in WiFi and Bluetooth Low Energy, making it a great option for beginner embedded systems, IoT, and hardware projects. Whether you're new to ESP32, Arduino IDE, or microcontrollers in general, this tutorial walks through the entire beginner setup flow clearly and practically.

Run Google Gemma 4 locally on a Raspberry Pi with Ollama and build your own offline AI assistant with no API fees. In this video, I’ll show you how to install and run Gemma 4 E2B on a Raspberry Pi 500 Plus, test real-world performance, and explore what local AI on edge hardware can realistically do today. If you're interested in Raspberry Pi AI projects, local LLMs, self-hosted AI, offline AI assistants, Ollama setups, home lab projects, or edge AI workflows, this walkthrough will help you get started