Personalized Diet Recommendation and Meal Planning System Using Machine Learning Techniques

The Personalized Diet Recommendation and Meal Planning System presented in this paper demonstrates the effective application of machine learning techniques in the field of nutrition and healthcare. By analyzing user specific attributes such as age, gender, physical measurements, activity level, lifestyle factors, and dietary goals, the system generates personalized diet recommendations and structured meal plans tailored to individual needs. The proposed framework enhances the relevance of nutritional guidance compared to traditional generalized diet planning approaches. Furthermore, the integration of recommendation generation and meal planning provides users with practical support for maintaining healthy dietary habits. The experimental results indicate that the system is capable of delivering reliable and user centric recommendations, making it a valuable tool for personalized nutrition management. The proposed solution contributes to the growing adoption of intelligent healthcare technologies and provides a foundation for future advancements in AI-driven dietary recommendation systems.

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