I’m building an end-to-end, AI-powered application that must run smoothly in the browser and as an installable desktop client. The business logic and data are ready; what’s missing is a full-stack developer who can turn the concept into a production-grade product. Stack preferences • Python for the back end—Django, FastAPI, or Flask to expose the model through a clean API. • JavaScript for the front end—React, Vue, or similar. • For the desktop build, an Electron or Tauri wrapper so we can reuse the same codebase. Scope of work You’ll design the machine-learning pipeline, implement and expose the inference service, build an intuitive UI, and package the project for web and desktop distribution. I’ll rely on you for DevOps essentials such as containerisation, CI/CD, and version control so maintenance is straightforward. Deliverables 1. Trained model and reproducible training script. 2. Scalable REST (or GraphQL) API in Python. 3. Web interface deployed to my cloud account, secured with HTTPS. 4. Desktop build that runs on Windows and macOS without manual setup. 5. Automated tests, CI/CD pipeline, and developer-friendly documentation in a Git repository. Acceptance criteria • Inference latency below 300 ms on provided test data. • Identical feature set across web and desktop versions. • Code ownership transferred on project hand-off. If this fits your skill set in Python and JavaScript and you can deliver both web and desktop experiences, I’d love to see how you’d approach the build and the timeline you propose.