I’m building a web-based space where our customers can log in, ask anything about our services, and receive instant, accurate replies without waiting for human agents. The core of the project is a trainable, scalable AI layer that understands natural language, learns from every interaction, and keeps improving its answers over time. Here’s the flow I have in mind: • A clean, friction-less sign-up / sign-in experience (email-password as a minimum, but your framework can keep the door open for social or two-factor later). • An intuitive dashboard where users submit questions, see conversation history, and track ticket status. • A back-office module for us to feed new training data, review edge-case queries, and export reports. • An AI engine—TensorFlow, PyTorch, Dialogflow, Rasa, or a comparable stack—that parses each inquiry, searches our knowledge base, and returns a contextual answer in real time. • A well-structured database to store user profiles, chat logs, and model feedback so the system can learn continuously. • Clear API endpoints so future mobile apps or third-party tools can hook in effortlessly. Acceptance criteria – Users can complete registration and log in without errors. – Average response time from the AI is <2 s under expected load. – Admins can upload new FAQs or documents and see the model incorporate them after retraining. – All conversations persist securely and are retrievable by date, user, or tag. If you have hands-on experience with React or Vue for the front end, Node.js, Django, or Laravel for the back end, and have shipped chatbots or virtual assistants before, you’ll feel right at home here. Show me a link or short demo of something similar you’ve delivered, outline your preferred AI toolkit, and let’s discuss a roadmap and milestones.