title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ, Ð¾ÑÐ³Ð°Ð½Ð¸Ð·ÑÑÑÐµÐ³Ð¾ Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½ÑÐ¹ Ð¿Ð»Ð°Ð½ Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ
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: Mobile application development that organizes an individual meal plan
Creators: name: Ð¡ÑÐ¾ÑÐ½Ð¾ÑÐºÐ¸, ÐÑÐ¸ÑÑÐ¸ÑÐ½
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: 2021
Subjects: Ð¿Ð»Ð°Ð½ Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÐ»ÐµÐ½Ð¸Ðµ
android ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ°
Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ° mvvm
firebase
diet planning
machine learning
android development
mvvm architecture

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ, Ð¾ÑÐ³Ð°Ð½Ð¸Ð·ÑÑÑÐµÐ³Ð¾ Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½ÑÐ¹ Ð¿Ð»Ð°Ð½ Ð¿Ð¸ÑÐ°Ð½Ð¸ÑÂ» ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ, ÐºÐ¾ÑÐ¾ÑÐ¾Ðµ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð¸ÑÑÐµÑ ÑÑÑÐ¾ÑÐ½ÑÑ Ð¿Ð¾ÑÑÐµÐ±Ð½Ð¾ÑÑÑ ÐºÐ°Ð»Ð¾ÑÐ¸Ð¹ ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¶ÑÑÐ½Ð°Ð»Ð° Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ. ÐÑÐ¾Ð¼Ðµ ÑÐ¾Ð³Ð¾, ÑÐ´Ð°Ð»Ð¾ÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°ÑÑ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¾Ð² Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ ÑÐµÑÐµÐ½Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸: 1. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ð¹, Ð²ÑÐ´ÐµÐ»ÐµÐ½Ñ Ð´Ð¾ÑÑÐ¾Ð¸Ð½ÑÑÐ²Ð° Ð¸ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐºÐ¸ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ Ð¸Ð· Ð½Ð¸Ñ. 2. ÐÐ¿Ð¸ÑÐ°Ð½Ñ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð»Ñ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÑÐµÐ¼Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ´ÐµÐ»Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°. 3. ÐÐ¿Ð¸ÑÐ°Ð½Ð° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ° ÑÐµÑÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ð¹. 4. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð²Ð·Ð°Ð¸Ð¼Ð¾Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ Ð²Ð½ÑÑÑÐ¸ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ñ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ðµ Ð°ÑÐ¿ÐµÐºÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÑ. 5. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð¾ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾Ðµ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¸ Ð²ÑÐ±ÑÐ°Ð½Ð½ÑÑ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð². 6. ÐÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° ÑÐ°Ð±Ð¾ÑÐ° Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ. 7. ÐÐ¿Ð¸ÑÐ°Ð½Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ñ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ. Ð¢Ð°ÐºÐ¸Ð¼ Ð¾Ð±ÑÐ°Ð·Ð¾Ð¼, Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¿ÑÐ¾Ð´ÑÐºÑ Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÐ¼Ð¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ð°Ð¼Ð¸ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¼Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð·Ð° ÑÐ¾Ð±Ð»ÑÐ´ÐµÐ½Ð¸ÐµÐ¼ Ð¿ÑÐ°Ð²Ð¸Ð» Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ, Ð° Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ñ ÑÐ¾ÐºÑÐ°ÑÐ¸ÑÑ Ð²ÑÐµÐ¼Ñ Ð·Ð°Ð¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð¶ÑÑÐ½Ð°Ð»Ð° Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ.
description: The topic of the final qualifying work: Â«Development of a mobile application that organizes an individual meal plan. Â» This work is intended to develop an application that monitors the daily calory intake of a person through nutritional management. In addition, it was possible to implement food recognition using machine learning. In the course of the work, the following tasks were solved: 1. The analysis of the applications is carried out, the advantages and disadvantages of them are highlighted. 2. The requirements for the designed system are described, based on the analysis. 3. The architecture of the solution is described based on the formulated requirements. 4. Algorithms of interaction within the system, used technical aspects of implementation and tools have been described. 5. Application based on the compiled algorithms and selected tools was implemented. 6. The operation of the application has been tested. 7. The evaluated results and development prospects are described. Thus, a software product with possible development prospects will provide each user with control over the observance of dietary rules, and machine learning will reduce the time it takes to fill out the food log.