Pixlpal is a hackable, ESP32-S3-based desktop device with an 11.25-inch LED matrix, high-fidelity audio, and Home Assistant integration, designed to be a smart AIoT desktop companion.
This article details how to run a 120B parameter LLM locally with 24GB of VRAM and 64GB of system RAM, using a setup with Proxmox LXCs, Whisper for voice transcription, and integration with Home Assistant for smart home automation.
This article explains how to set up a Home Assistant voice assistant that mimics GLaDOS's voice and personality, using add-ons like Whisper and Piper for speech synthesis and recognition.
This article details how to set up a custom voice pipeline in Home Assistant using free self-hosted tools like Whisper and Piper, replacing cloud-based services for full control over speech-to-text and text-to-speech processing.
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.
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.
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.
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.
Learn how to create a low-cost, AI-powered personal assistant using Raspberry Pi and open-source software. The assistant can answer questions, play music, and control smart home devices.
