hyelicht

IoT/embedded project for home decoration/automation (by eikehein)

Hyelicht Alternatives

Similar projects and alternatives to hyelicht

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better hyelicht alternative or higher similarity.

hyelicht reviews and mentions

Posts with mentions or reviews of hyelicht. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-27.
  • Ask HN: What have you built with ESPHome, ESP8266 or similar hardware
    26 projects | news.ycombinator.com | 27 Apr 2024
    My goals to release source and docs a la https://github.com/eikehein/hyelicht got waylaid by the ultimate DIY project of having a baby in November, but I will try to get it done this year!
  • The Broadway Windowing System
    2 projects | news.ycombinator.com | 30 Jan 2024
    Qt supports this too:

    https://doc.qt.io/qt-5/webgl.html

    I've used this to let friends on IRC paint on my LED shelf (https://github.com/eikehein/hyelicht), which has a Qt-based embedded GUI, over the internet. Cheap fun!

  • The IKEA-powered homelab on a wall
    1 project | news.ycombinator.com | 11 Sep 2023
    IKEA hacks, of course! https://github.com/eikehein/hyelicht/
  • Apple is reportedly spending ‘millions of dollars a day’ training AI
    1 project | news.ycombinator.com | 8 Sep 2023
    7. Add the sensor event and memory system described above

    There's a few other tricks. To improve the audio capture, I take note of spatially where the hot word is detected (i.e. which mic in the array gets the best signal) and then capture the rest & perform the silence detection with a corresponding bias.

    This is actually done in a distributed fashion over the network, so if two of the AI speakers hear the same command, only one of them will end up processing it.

    They end up making mainly HTTP calls to APIs that already exist around my house. I have a second RasPi in my LED shelf (another old project, https://github.com/eikehein/hyelicht/) that doubles as a Philips Hue bridge with a zigbee dongle. That's what the DIY AI speakers interact with when making changes to the lighting.

    I will say: Depending on the user command and the weather in the cloud, it's pretty slow. I've tried my best to optimize the client side for perceived user latency, but there's no way around the GPT-4 API just being pretty slow. And 3.5-turbo just doesn't cut it for what I'm trying to do.

    I'd like to get all of this of the cloud entirely. I predict the next generation of my home NAS will have a GPU in it and try to run things like fine-tuned llama2 for the home.

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Stats

Basic hyelicht repo stats
4
138
10.0
over 2 years ago

eikehein/hyelicht is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.

The primary programming language of hyelicht is C++.


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