Webová aplikace pro katologizace receptů a plánování výživy

This bachelor’s thesis deals with the design and implementation of a desktop application that serves as a catalog of recipes and supports nutrition planning with respect to weekly goals in terms of energy value and macronutrients (proteins, carbohydrates, and fats). The application is designed as a local solution built on the Electron platform, where all data is stored exclusively in the user’s file system and the application operates fully offline without the need for connection to external servers. This approach addresses the growing demand for privacy-respecting tools. The theoretical part analyzes individual needs in meal planning, compares existing solutions available on the Czech and international markets, and evaluates the suitability of the selected technologies – Electron, React, Node.js, and SQLite. Furthermore, it presents the basics of nutrition theory including the calculation of energy value from macronutrients, and describes a modified waterfall software development model. To verify the usability of the resulting application, the System Usability Scale method is applied. The practical part describes the implementation of the application according to the individual phases of the chosen methodological approach: requirements gathering and analysis, design of the system and data model, implementation of the Electron main process, the Node.js backend API, and the React frontend, distribution in the form of native installation packages, testing with evaluation using the System Usability Scale, and the design of further development. The application enables Create, Read, Update, Delete (CRUD) operations on recipes, searching and filtering by nutritional parameters, automatic generation of a weekly menu meeting user-defined caloric and macronutrient limits, generation of an aggregated shopping list, and export of the plan to PDF format. In the conclusion, the achieved results are compared with the goals set using the Objectives and Key Results (OKR) method, the identified implementation limitations are discussed, and possibilities for future extensions are outlined.