This paper introduces an AI-based health assistant designed to foster healthier eating habits among young adults. Leveraging the Transtheoretical Model (TTM) of behavior change, the system integrates personalized dietary interventions with advanced AI technologies, including a graph-based database and dynamic user interactions powered by ChatGPT. Key features include meal logging, nutrient visualization, and stage-specific recommendations tailored to each user’s progress. A structured evaluation framework lays the foundation for assessing the system’s effectiveness in promoting sustained behavioral improvements. While the current work focuses on short-term outcomes, future enhancements aim to incorporate wearable integrations, gamification, and expanded personalization to address a diverse user base. This research represents a significant step toward harnessing AI to address complex dietary challenges through ethical, user-centric health interventions.