New York City has an incredible and ever-changing food scene, sometimes making finding the right restaurant that fits their cravings challenging. Traditional searching methods, like keywords and filters, can be a hassle and don't always get to the heart of what someone wants. That's where Restaurant-REX comes in—it's all about making restaurant discovery easier and more personal with a conversational approach that uses AI. It gives you recommendations based on your preferences in a more casual chat. For the database (Supabase) to work smoothly, the information from the frontend must match the setup, including any optional fields. Fixing backend issues like this helps build user trust and keeps the whole system running better. I built Restaurant - Rex's Backend and frontend to be engaging and trustworthy with a reliable database and a chatbot that utilizes the most up-to-date conversational UX practices, such as Proactive Guidance: Through dynamic suggestions and follow-up questions, the chatbot actively assists users in refining their search and exploring options. And Contextual Memory: remembering previous parts of the conversation, allowing users to refine their requests and ask follow-up questions without repeating themselves. Take Restaurant Rex for a spin your self: -Username: Testuser@test.com- - Password: 12345