Flask Full Stack App with Analytics

I am ready to commission a complete Python / Flask web application focused on user management. The core features I need are secure registration, login and logout flows, plus role-based access that differentiates Admin and Editor users. All authentication data should be stored in a MySQL database and exposed through clean, RESTful endpoints so the front-end and any future services can communicate easily. On the client side the interface must look sharp and load quickly on both desktop and mobile. Please build the pages with standards-compliant HTML5, modern CSS (Flexbox / Grid where helpful) and unobtrusive JavaScript to keep interactions smooth. I expect a clear separation of concerns: Jinja templates or a lightweight JS framework for rendering, static assets organised logically, and reusable components wherever possible. The application also needs a predictive analytics module. Users with the correct permissions should be able to upload or select datasets, run a predefined model (you can start with a scikit-learn prototype), and receive the predictions presented in an intuitive format. I am open to your suggestions on model choice and visual presentation so long as the code remains modular and well-documented. Quality is critical. Please make sure: • code follows PEP 8 and Flask best practices; • configuration values and secrets never sit in the repo; • unit and integration tests cover critical paths, especially authentication and the analytics pipeline; • logging and error handling are robust but not verbose in production mode; • response times remain low under reasonable load. Once development is complete, I will need a brief hand-off session where you walk me through deployment steps (gunicorn, nginx or a comparable setup), database migrations and how to extend the analytics module.