AI-Driven Personalized Dietary Recommendation System Leveraging Regional Cuisine

Diet related health issues are a growing concern, with individuals often struggling to make informed dietary choices. Existing dietary recommendation systems rarely include regional foods, making it difficult for users to access or prepare the recommended meals. Despite the availability of a diverse array of nutritious local foods, this gap necessitates the development of a system that provides culturally relevant and accessible dietary recommendations. In this project, an AI based dietary recommendation system is designed to cater to regional needs. Using machine learning algorithms, the system calculates daily caloric requirements based on factors such as age, BMI, and individual health goals. Personalized meal plans are generated from regional foods, ensuring they are culturally appealing, nutritionally balanced, and aligned with seasonal availability. The outcome of this research is to bridge the gap in existing systems by generating meal plans rooted in regional foods, empowering users to achieve healthier diets through accessible and culturally resonant recommendations.