The goal of this project is to develop a mobile application called 'What To Eat?', designed to generate customizable meal plans based on specific nutritional rules. The app will serve users who are looking to maintain or improve their dietary habits by offering meal suggestions that align with their nutritional preferences and requirements. The project will involve creating a user-friendly interface that allows users to input their dietary preferences and restrictions. The app will utilize a custom-built database to store nutritional information and meal options, and API keys to access external nutritional data sources. Additionally, the project will incorporate AI algorithms to enhance meal customization and recommendation accuracy. The project aims to provide a practical application of classroom knowledge in mobile app development, database management, and AI integration.

The deliverables for this project include a fully functional mobile app that allows users to generate meal plans based on their nutritional preferences. The app should feature a user-friendly interface, a custom-built database for storing meal and nutritional information, and integration with external data sources via API keys. Additionally, the app should incorporate AI algorithms to improve meal recommendations. The final deliverable will be a demonstration of the app's functionality, showcasing its ability to generate personalized meal plans efficiently.