Nutrition tracking tools often focus narrowly on macronutrients, and they completely neglect micronutritional accuracy, ingredient complexity, and personalization. Further, many applications also fail to address issues such as meal cost. This project addresses these gaps by developing an AI-powered adaptive meal recommendation application. This system integrates ingredient inventories, user health profiles, and predictive analytics to generate individualized meal plans. Being built with Flutter, Firebase, and large language models, the system provides real-time ingredient parsing, dietary restriction enforcement, and tailored nutrition guidance. This project was not simple, however. Several challenges were encountered during development.