title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ ÑÐ°ÑÑÐµÑ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð´Ð½ÐµÐ²Ð½Ð¾Ð³Ð¾ ÑÐ°ÑÐ¸Ð¾Ð½Ð° Ð·Ð´Ð¾ÑÐ¾Ð²Ð¾Ð³Ð¾ Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð½Ð¾Ð³Ð¾ÐºÑÐ¸ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Automated calculation of the optimal daily diet of a healthy nutrition of a person using machine learning and methods of multicriterial assessment
Creators: name: ÐÐ¾Ð»ÑÐ±Ñ, ÐÐ»Ð¸ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð´Ð½ÐµÐ²Ð½Ð¾Ð¹ ÑÐ°ÑÐ¸Ð¾Ð½ Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÐ»ÑÑÐ°Ð¹Ð½ÑÐ¹ Ð»ÐµÑ
Ð¼ÐµÑÐ¾Ð´ Ð¿Ð°ÑÐµÑÐ¾Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹
Ð²ÐµÐ±-Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ
daily diet
machine learning
neural networks
random forest
a method of pareto-optimal solutions
a web application

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description: This work is devoted to the analysis of machine learning methods, methods of multicriterial optimization and the development of a web application for calculating a daily diet for a particular person. The research set the following goals: 1) studying the approach to calculating the required number of calories for humans;the study of machine learning methods for the analysis of text data; 2) the study of multicriterial optimization methods; 3) building a model of calculating the optimal diet using the optimization task. The work was performed in the Google.Colab development environment. The table was prepared for analysis, the table was processed using machine learning methods, and the results of the methods were analyzed in numerical and graphical form. Also, to solve the optimization problem, an objective function with restrictions and conditions was compiled using the method of searching for Pareto-optimal solutions. As a result of the work, a web application was developed based on the existing table and the multi-criteria optimization method, and its analysis was carried out with subsequent indication of the characteristics of the application.