I’m building a web-based platform whose standout feature will be a machine-learning model that delivers real-time predictive analytics to our users. The web development itself is the primary focus right now, but every screen and endpoint has to be designed with the forthcoming ML component in mind so that the transition from prototype to production is seamless. Here’s what I need: a full-stack developer who is comfortable setting up the entire web application—front end, back end, and database—and who can also wire in a predictive analytics model once the core site is live. If you work best with React, Vue, or another modern framework, that’s fine; I’m flexible as long as the result is responsive and maintainable. On the server side, I expect clean, well-documented code, REST or GraphQL endpoints, and a data schema that supports model training and inference later on. When it’s time to integrate the ML piece, Python with TensorFlow or PyTorch is totally acceptable, but again, I’m open to recommendations if you have a more efficient pipeline in mind. Deliverables will include: • A complete, deploy-ready web application with user authentication and the core pages wired up • An API layer prepared to feed data into—and receive predictions from—the machine-learning model • Clear setup instructions so I can replicate the environment locally and on our staging server Once the web portion is solid, we’ll shift to the machine-learning phase, train the predictive model, and expose its outputs in the UI. If you already have experience shipping similar predictive systems, please let me know; I value practical insight just as much as technical skill.