The Population of Obesity
42% of the adults and 20% of the children in the United States are currently suffering from obesity or overweight in 2023. Furthermore, around 147 million USD were spent annually for their health conditions.
The Possible Best Solutions
Controlling the percentages of different macronutrients (also known as “macro-counting”) is one of the scientifically approved and popular methods to lose weight. These nutrients include carbohydrate, protein, fat, and fiber.
Unsolved Problems
Counting proportions of macronutrients sounds easy in labs or by professional healthcare experts. However, it can be quite difficult to conduct by people without proper education or professional monitoring.
Configured directly through gpt-4o, it is an application which acts as your personal nutritionist and health coach. Bobbin Health is my flagship model.
She can understand users' health concerns and needs for obese recovery.
She can give customized suggestions on dietary and exercise choices.
She gives real-time nutritional analysis of your plates - just share your photo with her
Why machine learning?
ML can replace the tedious and repetitive tasks which were originally provided by healthcare experts (doctors, nurses, and dietitians). These experts’ services are expensive, so replacing the services with ML will be a grand costdown
ML is good at identity patterns in great quantities of data. By giving sufficient data regarding macro-counting, ML can predict the best decisions for patients during food choosing.
By being fed with sufficient amounts of patient information, ML can learn how to identify and recommend right food choices to individual patients.
Product Prototypes