Our project is centered around a straightforward chatbot designed to offer tailored suggestions to users based on their input. For instance, if a user asks for meal ideas with low calories and minimal carbs (less than 10 grams), our chatbot swiftly generates relevant recommendations from the database. Or maybe if a user asks for a seafood meal. These suggestions align precisely with the user's specified criteria. By analyzing the user's message, the chatbot identifies keywords like "calories" and "carbs," extracting the constraints provided by the user. It then filters the database to retrieve suitable meal options that match these constraints. This approach ensures that the chatbot's responses are closely aligned with the user's preferences, providing a personalized experience. To enhance user engagement and convenience, the chatbot doesn't stop at just providing options. It takes the experience a step further by offering direct order links. This means that users can swiftly access the ordering process for their chosen meals. This interactive approach not only streamlines the decision-making process but also creates a seamless and efficient user experience. In essence, our project focuses on creating a straightforward and effective chatbot. It understands user requests, tailors responses accordingly, showcases appropriate choices, and then empowers users to take immediate action through order links. This approach enhances user satisfaction by delivering both relevant suggestions and practical means to act on those suggestions quickly.
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