Interesting artificial intelligence problem

I have been working on a very interesting AI problem today. (This is not for a customer, rather it is for my wife's and my CJsKitchen.com web portal so I can talk about it :-)

A bit of background before discussing the problem itself: users of our web portal are encouraged to maintain a simple database on our server of what ingredients that they have on hand in their kitchens. This data is stored per user in a database on my server and is easy to keep up to date. Users can search/view all recipes or just recipes that they have the ingredients on hand to make.

The AI problem is this: given (in a case based reasoning sense) a set of recipes, the ingredients the user has on hand, user preference for cooking style (American Comfort Food, Italian, Chinese, or Japanese) and how spicy they want the dish to be, the problem is this: create a good recipe using only the ingredients the user has in their kitchen. As a bonus, I offer advice, based on the requested cooking style, on spices to buy the next time the user is at the store.

For me, this is a "perfect" AI problem because my wife and I are ourselves the domain experts (we are excellent cooks and very creative in making up new recipes) and I am the "knowledge engineer" so the work is progressing fairly fast (but still a work in progress and incomplete).

Comments

Post a Comment

Popular posts from this blog

My Dad's work with Robert Oppenheimer and Edward Teller

Robert Oppenheimer and Edward Teller facilitated my Dad getting a professorship at UC Berkeley when I was 3 years old. Oppenheimer left Berkeley but Teller was a good friend of my father and I remember him being in our home. Three weeks ago, my wife and I were just leaving to see the new Oppenheimer movie when my Dad called. He mentioned that when I was in grade school he was invited to give a talk at Princeton. After his talk Oppenheimer talked with my Dad and invited him to have dinner at his house. My Dad said Oppenheimer was not well (I think he died of throat cancer soon afterwards) but his wife Kitty carried the conversation. My Dad, Ken Watson, passed away 10 days ago on August 18, 2023.
Read more

Time and Attention Fragmentation in Our Digital Lives

  As humans we have evolved over a few million years to be both attentive and reactive to danger, live in social communities, and spend much of our time being in the present moment gathering and eating food and socializing. The behavior of rapidly changing short attention to content on social media, too many good short form things to watch on streaming video entertainment platforms, are all rewiring our brains in an unnatural and unhealthy way. I fight back, but in really simple ways that entail little ceremony: Almost every morning I spend 30 minutes scanning Hacker News (about 10 minutes), Apple News (about 5 minutes), and the remaining time on Twitter and Mastodon finding interesting new (mostly tech) things. I make notes in a temporary Apple Note: links of things I may want to research, try, or simply read that day. I like to get this all done at once, and then not feel like I need to interrupt my activities during the day to “catch up” on what is happening in the world. In a w...
Read more

I am moving back to the Google platform, less excited by what Apple is offering

I have been been playing with the Apple Intelligence beta’s in iPadOS and macOS and while I like the direction Apple is heading I am getting more use from Google’s Gemini, both for general analysis of very large input contexts, as well as effective integration my content in Gmail, Google Calendar, and Google Docs. While I find the latest Pixel phone to be compelling, I will stick with Apple hardware since I don’t want to take the time to move my data and general workflow to a Pixel phone. The iPhone is the strongest lock-in that Apple has on me because of the time investment to change. The main reason I am feeling less interested in the Apple ecosystem and platform is that I believe that our present day work flows are intimately wrapped up with the effective use of LLMs, and it is crazy to limit oneself to just one or two vendors. I rely on running local models on Ollama, super fast APIs from Groq (I love Groq for running most of the better open weight models), and other APIs from Mist...
Read more