ChatBot for Food Ordering Website using DialogFlow

This paper presents the development of a chatbot for a food ordering website using Google Dialogflow. The chatbot leverages pre-existing user data—such as menu preferences and past orders—to enhance the online Food ordering experience through personalized recommendations and contextual suggestions. The chatbot streamlines the communication process by offering a simplified and interactive user interface, making it more accessible and user-friendly. Its functionality includes tracking order types, managing payments, and tailoring recommendations based on user history. Overall, the system aims to deliver a responsive, intuitive, and reliable platform for improving customer engagement and satisfaction in online food ordering.