You’re starting a new venture firm MACHINES ARE SMART, that specializes in machine learning. You are going to pitch a new project to venture capital investors, and you need a proof of concept.  Use teachable machine to build a model that does one of the following:

• A special pet door that only lets in only cats, for cat lovers.
• A foreign language training app that teaches you to say “hello” in a foreign language and rejects attempts that aren’t correct. 
• An app that rejects drinks that aren’t coffee. 
• An app that tells if elderly nursing home residents are happy or sad, and alerts loved ones if the nursing home resident is too sad too often.

Reflect on the following question: You’ll have to think about how to train the machine.  What kind of data did you include in your training dataset and why? What other kind of data could have been helpful but maybe you couldn’t get in the short-term/for free? Your group may, in some cases, search for photograph sets.  One possibility to get large data sets is to convert YouTubes into clips. Did your model work well for what you wanted?  In what instances might your model not work very well?  Include the link to your project.