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Could an AI accurately assess the nutritional profile of a plate of food using only a phone photo? No calorimeter, no weighing scale, but can use full spectral sensitivity of camera and all the internet’s data, and train as much as you like.
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the right way to solve long term might be to use advanced continuous glucose monitors. Measure the impact of the food on your specific body, not the food itself. Early days still for continuous body sensors.
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I remember hearing google actually tried this internally. It didn’t work. Good baseline question: could a human do it? Or are too many foodstuffs that look the same significantly different in their nutritional profile? (E.g., full fat vs low fat milk)
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Using purely a photo, training data from the internet, and no other kinds of imaging, I don’t think it can exist — mainly because many dishes do not even have confirmed caloric and nutritional information. Maybe MyFitnessPal could be a hub for this data, but it’s very inaccurate.
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Innit is a startup that I believe has done work in this area. Not sure if they could capture the entire profile of a whole plate of food in one go; but I thought they’d done some work translating/recognizing nutritional content on single items.
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