David Pine - Magic mirror on the wall, who is the fairest one of all?

The Discussion

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  Pls Thank Kendra for the "Heads Up" on this "Magic Mirror" "Windows 10 IoT Core" Prezy and
  Discussion. I had started work on a smaller mirror using an old -- working but 'OS-Defunct' --
  MS Win laptop. I particularly like your inclusion of voice recognition ( and response ). Thx !
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  == YES -- "We are not just developing software, We are developing ( a) CULTURE !" ========
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  IMHO -- A "Magic Mirror" Does NOT REQUIRE Full Voice "NLP" (nor voice response ) -- the primary
  objective is simply to be "hands-free", e.g. when shaving or applying make-up [ I do the former but
  could really use help with the latter :) ]. I programmed a voice response unit for a govy agency that
  uses an (unfortunately, proprietary) voice (limited) speech recog / command recognition lib ('C') to
  both setup a user's commands and to then -- with some 'training' -- to respond to these patterns.
  ...
  NOTE:
  Have U checked "System.Speech" in dotNet ? SAPI is NOT under 'U' dotNetCore. Try a Kinect I/F ? ? ?
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  Since I have not seen a comment or response from anyone (timezones?), I will "finally" mention that
  "CMU Sphinx" has already been tested on Raspberry Pi and "pocketsphinx" made to work with C# ...
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• 

  @Larry Tindell: thank you for all your comments. I apologize for the delay in my response.
  The voice recognition is using the UWP speech libraries. They are fairly easy to consume and integrate with the mirror, UWP Speech Interactions. I did however struggle justifying the amount of processing power and network I/O that was required to do some of the more intensive work, i.e.; using Cognitive Services. There was mention during the interview of the potential to include Kinect, which I really like. I realized that I didn't get to actually demo any of the code or how to debug the app. One of the advantages is the ability to use Visual Studio and the Windows Device Portal.