Full-Stack Apps Using Frontier Models

I need production-ready software that proves out the latest frontier-model capabilities from end to end. The work spans everything from designing the data layer to wiring up sleek UIs, then packaging and deploying so that real users can click around and see the model in action.

You can reach for the stack that lets you move fastest—Python/Django or FastAPI, Java/Spring Boot, TypeScript/Node.js or Next.js, even Rust, C#, or modern C++. Cloud services (AWS, Azure, GCP) and containerisation with Docker/Kubernetes are welcome if they speed delivery; I’m flexible as long as the final result is easy to stand up and maintain.

Frontier-model features sit at the heart of each build. Whether it’s natural-language understanding, computer-vision pipelines, data-driven recommendations, or another ML breakthrough, the application should surface the model through a clean API, sensible business logic, and an intuitive front-end.

What I expect at hand-off:
• Source code in a public or private Git repository
• Automated build & deploy scripts (CI/CD)
• Clear, step-by-step README covering local setup, configuration, and production deployment
• A brief architecture diagram or markdown explaining key components and model flow

Once this foundation is in place, we can iterate on extra features, but the first milestone is a fully functioning, demo-ready product that showcases the model’s power from database to UI.