Please read the release notes carefully since this update requires adjustments to your Raspberry Pi configuration!
My SmartMirror based on Goldjunge_Chriz glass
my mirror project makes process. Below you can find the result as well of some snapshots of the building process. Looking forward to your feedback
garbleflux last edited by
Absolute amazing! Great stuff! Would you please be so kind and give us more details of your MM-modules? Also great the optic on the screen. How did you realized this?
Do you have more pictures from the building process?
lolobyte last edited by
This SW is not a real MMM.
He developed his own thing.
Like mentioned by lolobyte this is not based on node.js. I started in node.js but swiched than to my primary development plattform java(fx). I belive it would be easy for a skilled node.js developer to migrate it to node.js due to it is primary just connecting cloud API’s.
You can find some more information see and the high level architecture in this LinkedIn Article
There is not much more. It’s just a “Film Coated Plywood” (siebdruckplatte) with two U-profiles (better would be a J-Profile, but i was not able to find a fitting one)
The Monitor is on one side fixed by the mirror glass and on the backside withave a wooden bar what is also the hock to adopt it on the wall…
If everything is final setup I will put into the plate to mount the cam behind the glass.
strawberry 3.141 last edited by
Hi @mantha, in your diagram in the linkedin post you mention that you used an offline speech2text engine. Also in your video you are not limited to a specific word dictionairy (route to munich, playlist favourite coffee house). I’m curious which engine you used, because I’m not aware that there is a solution which works offline and has not a limited dictionairy.
Goldjunge_Chriz last edited by
I just saw it now, since I was not linked. Absolutely amazing
mantha last edited by
@strawberry-3.141 you are right, I also struggled to find a accurate “offline” sst solution. Like mentioned in the article I don’t intend to use a “public cloud” solution for STT - due to this I train currently a context aware, tensorflow based “private cloud” STT solution. But it turned out that this is really time consuming… until this is complete I use googles STT API.
This project is for me just a research project to get a better understanding of AI and cloud services and how to deal with the challenges. The intention to post it here was to support Chris with a impression of the used glass
essert last edited by
Amazing work, would like to see more of some projects of you like this!