Let AI eat first, this national health problem is solved

When it comes to scientific weight loss, following the strategic investment in Mint Health, Ant Afu has made another big move. On July 29, Ant Afu announced the upgrade of the "AI Food Photography" function. Users can automatically estimate nutrition and calorie information by taking photos of food and send them to Afu, and obtain healthy diet recommendations and exercise consumption plans. It also supports Yi Jian to save personal health files and establish a "calorie account". It’s clear at a glance whether you’re eating right or not, whether you’re eating right or not. Afu's launch of the "AI food photography" function is not an isolated action. A month ago, 36 Krypton reported that Ant Afu launched a call to "scientifically lose 100 million pounds", launched a "1 cent" low-priced body fat scale, upgraded AI functions, and launched three major actions, including a 21-day check-in challenge, to help the public scientifically manage their weight and establish daily healthy habits. The craze brought about by this "National Scientific Weight Loss Action" exceeded expectations. More and more people are joining the "weight loss" army. Ahfu appears as a training partner and travel companion in scenes such as climbing Huashan Mountain, swimming in the East Lake, riding bicycles, and jumping on the horizontal bar. At present, nearly 1.5 million netizens across the country have participated in the scientific weight loss action and have lost more than 2 million pounds. Apart from exercise, what to eat and how to eat are often the most difficult and easily overlooked part of weight loss. It is difficult for ordinary people to continuously and accurately record how much they eat, whether the calories exceed the standard, and whether the combination is reasonable. For the public, what hinders scientific weight loss is not the lack of willingness, but the lack of a handy tool that is professional enough, has a low threshold, and can provide long-term persistence and feedback. The national health management scenario of "weight loss" is expected to give birth to a "national-level health AI application." Whether this scenario can be thoroughly understood is the touchstone for the national AI health entrance. The chemical reaction of peppermint: "AI nutritionist" returns after completing his studies. It is not easy for AI to "understand" Chinese food. In the AI ​​health management track, "digitizing" diet has always been a difficult problem. Compared with Western food, which follows standardized ingredients, portions and cooking logic, Chinese food not only has a wide variety of cuisines and flexible combinations of ingredients, but the same dish may have huge disparities in calories and nutrients due to different heat levels and ingredients. This also makes food recording tools on the market generally prone to problems such as category misjudgment.