Tags: home assistant*

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  1. This article explains how MQTT (Message Queuing Telemetry Transport) can be used to create a more streamlined and organized smart home by enabling local communication between devices, reducing reliance on cloud services, and simplifying automation.
  2. This article details how to set up an email triage system using Home Assistant and a local Large Language Model (LLM) to summarize and categorize incoming emails, reducing inbox clutter and improving email management. It covers the setup of a REST command to interface with Ollama, the automation process, and the benefits of using a local LLM for privacy.
  3. Hup is an AI home assistant that watches out for you, offering visual task recognition, reminders, and configuration to your needs. It detects clutter, identifies safety hazards, checks on family members/pets, creates tasks automatically, sends real-time reminders, tracks habits, and integrates with Hup Cameras.
  4. This article details how to set up a weather report on a Home Assistant dashboard using a local LLM (Ollama) for more user-friendly summaries and clothing suggestions, avoiding cloud-based services for privacy reasons. It covers the setup process, prompt engineering, and hardware considerations.
  5. Stream Assist is a Home Assistant integration that allows users to turn almost any camera and speaker into a local voice assistant, offering privacy and customization benefits over commercial solutions like Alexa or Nest. It uses components like Stream, Assist pipeline, openWakeWord, Whisper, and Piper to process voice commands and control smart home devices.
  6. Seeed Studio has revealed the TRMNL 7.5" DIY Kit, a 7.5-inch e-ink display kit compatible with Home Assistant and Arduino, offering a cost-effective solution for smart home enthusiasts. It includes a 7.5-inch 800x480 monochrome e-ink display, XIAO ESP32-S3 PLUS driver board, 2000 mAh rechargeable battery, and 10cm FPC extension cable. It is currently available for preorder for under $45.
  7. AI-On-The-Edge-Cam is an ESP32-S3 board with a 2MP camera, microSD card, WiFi, BLE, and PoE Ethernet connectivity designed to digitize legacy utility meters such as water meters, gas meters, or electricity meters that require manual onsite reading. It supports Tensorflow Lite, has a web interface, and integrates with Home Assistant.
  8. The author details their transition from Google Home to Home Assistant with a local LLM, highlighting the benefits of increased control, customization, and functionality. They discuss using Home Assistant's 'Okay Nabu' voice control, experimenting with display solutions like tablets and ESP32 devices, and the advantages of integrating a local LLM for more contextual and powerful interactions.
  9. This article explores how you can use Node-RED, a visual programming tool, to enhance the functionality of your smart home. It provides examples of projects such as RFID-based access control, automated window blinds, thermostat, sprinkler systems, and light control, showing how Node-RED can simplify and expand home automation.
  10. Seeed Studio has introduced two new mmWave sensor kits, designed for edge AI detection of falls and heartbeats respectively. These kits are powered by the company's XIAO ESP32C6 development board and pre-installed edge-AI algorithms.

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