An AI-generated weight management method

Abstract

The invention discloses a weight management method generated by artificial intelligence. Involving in the field of artificial intelligence technology, a new method for generating a weight management plan is constructed, which realizes a better threshold calculation method for calories and nutrients, and a final individual threshold determination method. At the same time, it fully considers the metabolic characteristics of the Chinese people. It not only controls the calories, but also controls the energy supply ratio of the three major nutrients, the GL value of sugars, and the artificial intelligence and big data adjustment scheme. At the same time, according to the region, GL value, unit calorie and nutrient data stored in the database, it can quickly complete the automatic generation of diversified recipes by using classification labels, and use the artificial intelligence push algorithm to push the foods and exercises that individuals are most likely to stick to or like.

Description

technical field [0001] The present invention relates to artificial intelligence technology, in particular to an artificial intelligence-generated weight management method. Background technique [0002] With the popularity of artificial intelligence and big data, various algorithms emerge in an endless stream. In terms of weight control, program planning is generally carried out from two aspects, namely diet and exercise. The generation method of this type of plan is still at the academic level. Generally, it is based on the user’s gender, age, height, and weight data, and subtracts 500~1000kcal from the calorie recommended by the Chinese Nutrition Society for normal people’s diet. Simple calorie control and the corresponding three major energy-supplying nutrients (carbohydrates, fats, proteins) correspondingly reduce the food supply for recipe matching, and so far, most of the calculation work is still dominated by manual work, supplemented by data calculations To generate ...

AI Technical Summary

Problems solved by technology

[0003] This type of program generation method generally encounters several problems in the actual operation process: first, the effectiveness is poor, the human body has a threshold effect, and has a certain range of automatic adjustment and adaptability. , it is likely that the heat threshold of the individual has not been reached, resulting in some of the generated solutions being invalid or inefficient

Second, the compliance is low. Due to the professional calculation methods of recipes and exercise, the use is complicated, time-consuming, and has a lot to do with the personal experience of the catering chef, resulting in weak flexibility and diversity of the program, and it is difficult for individuals to stick to it.

Third, the rebound rate is relatively high. Because such programs generally do not consider the response of human metabolism from a medical point of view, nor do they consider the changes in metabolic conditions at different stages. During the control process, appetite cannot be controlled, and the new metabolic balance of the human body cannot be controlled. formed, resulting in a rebound

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