AI-Powered E-commerce Website Build

I’m starting from a clean slate and need a fully working e-commerce site that marries a modern, responsive frontend with a Python-driven backend and integrated machine-learning intelligence.
The heart of the platform will be three AI/ML capabilities: detailed data analysis of customer behaviour, on-the-fly sales prediction, and a personalised recommendation engine that learns from every interaction to boost conversions.

On the web side, I expect a slick UI that renders flawlessly on mobile and desktop, secure user authentication, payment handling, and an admin dashboard that surfaces key metrics through interactive charts. The backend should expose well-documented REST or GraphQL APIs, connect to either SQL or MongoDB (your call), and remain easily deployable on a standard cloud stack. I’m framework-agnostic, so pick Flask, Django or any Python toolchain you feel suits the job best, as long as it stays maintainable and well-structured.

Deliverables I need from you:
• Complete, production-ready source code for the website, backend services, and ML modules
• A clear setup guide with environment requirements and deployment commands
• In-code comments and standalone documentation that explain architecture, model training, and API endpoints
• Seed data plus instructions so I can demo the recommendation and prediction features immediately after installation
• A brief hand-off session (video or written) outlining how to retrain models and roll out future updates

I’ll judge the work on code quality, UI polish, security best practices, and—most importantly—the accuracy and responsiveness of the ML components. If you have previous showpieces that blend Python, JavaScript, HTML5/CSS3, and machine learning, I’d love to see them when you apply.