In our thesis, we tried to solve issues related to grocery shopping and meal preparation. To accomplish this, we developed an application to replace paper lists and other tools for grocery shopping. The application enables the users to create meal plans for specific periods. Given the meal plans the application generates a list of ingredients needed to prepare the meals. One of the main challenges in the application's development was data scraping, a process through which we automatically acquired a larger number of recipes from the web. To develop the application, we used the MEAN architecture, which consists of the MongoDB, Express, Angular, and Node.js technologies. For data extraction, we used Python along with the Selenium library. In the thesis, we provided a detailed description of the entire application development process, including presentation, planning, implementation, and data extraction. At the end, we evaluated the application.
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