Abstract
This paper presents the development of a nutrition chatbot that utilizes regression modeling techniques to provide personalized dietary recommendations. With the increasing prevalence of lifestyle-related health issues, there is a growing need for accessible nutrition guidance. This chatbot leverages TensorFlow for regression analysis based on user input, including dietary preferences, health goals, and nutritional needs. The model is trained on a diverse dataset to ensure accuracy in predicting optimal food choices. Our approach aims to empower users to make informed dietary decisions, enhancing their overall health and well-being. Keywords: Nutrition chatbot; Regression model; TensorFlow; Dietary recommendations; Machine learning.
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