I’m building a mobile application in React Native that relies on TensorFlow-powered AI features, and I’m looking for a developer who can take the lead from architecture through to a functional prototype. Scope • Design the overall React Native structure, including navigation, state management, and clean component organization. • Integrate TensorFlow (tfjs or suitable native bridge) so the app can run on-device inference efficiently. • Wire the AI layer to a sample dataset and expose it through well-documented hooks or services that I can extend later. • Deliver a fully working prototype for both iOS and Android, complete with basic styling, error handling, and unit tests. What I’ll provide • High-level user stories, wireframes, and the pre-trained TensorFlow model. • Access to my Git repo and CI pipeline. Deliverables 1. React Native project in Git, ready to build and run on simulators and real devices. 2. Integrated TensorFlow inference module with one demo screen showcasing the AI output. 3. Clear setup instructions and a brief technical walkthrough over video call. I value clean, well-commented code, frequent Git commits, and proactive communication. If you’ve shipped React Native apps that leverage TensorFlow before, I’d love to see them.