Proposed Framework for Personalized Nutritional Counselling Using NLP And Sentiment Analysis Via Chatbot Interactions

Abstract: In our study, we recommend upgrading the functionality of our multilingual chatbot by the implementation of sentiment analysis mechanisms using advanced Natural Language Processing (NLP) methods. This ability is a fantastic step up for giving chatbots the knowledge of someone’s mental state and emotions around food, and it has a major effect on our nutrition-related behaviours. The chatbot will then utilize this further integration to provide you with personalized dietary advice tailored to your emotions and tastes. We utilize advanced NLP algorithms to improve the chatbot's empathetic support and steering of dietary recommendations which we believe makes a greater impact on Nutritional Counselling Services offering. The ultimate goal of this research is to provide novel technological interventions that can help the users in adopting healthy eating habits and a healthier lifestyle.

Keywords: NLP, AI, CHATBOT, Natural language Processing, Sentiment analysis.