Nutrition Chatbot Using Regression Modeling Techniques

Nutrition Chatbot Using Regression Modeling Techniques

Ms.Surabhi KS1,  M.Venkatraman2

1Assistant professor, Department of Computer Applications, Nehru College of Management,

Coimbatore, TamilNadu, India

2Student of II MCA, Department of Computer Applications, Nehru College of Management,

Coimbatore, TamilNadu, India

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.