The label that will probably end up being prefixed here is ‘smart’. Here’s one example: FitGenie, an iOS app whose ex-Georgia Tech co-founders bill it as a “smart calorie counter” — on account of applying machine learning algorithms to simplify nutrition planning for people wanting to achieve a certain weight or fitness goal.
“Our self-adjusting diet algorithm is based on a model we created that maps and forecasts the progress of an individual user and makes intelligent weekly adjustments based on the data we gather,” says co-founder Keith Osayande, explaining how it’s applying AI to calorie counting.
“The key thing to note is that we are not just gathering this data. Our algorithm is constantly assessing how these data points trend with each other and making informed adjustments,” he adds.
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“Our self-adjusting diet algorithm is based on a model we created that maps and forecasts the progress of an individual user and makes intelligent weekly adjustments based on the data we gather,” says co-founder Keith Osayande, explaining how it’s applying AI to calorie counting.
