Cross-Platform Facial Recognition App

I need a complete mobile app that runs smoothly on both iOS and Android and showcases advanced facial-recognition capabilities. The core of the build is a camera workflow that can:

• Face identification
• Emotion detection
• Age and gender estimation

Those three features must fire quickly on-device (or via a lightweight cloud microservice if latency is acceptable) and return an easy-to-parse JSON result I can feed into future modules. The interface should feel modern and sleek with clean typography, subtle animations and dark-mode support.

You’ll own the full stack—from selecting the best SDK (e.g., Apple Vision, Google ML Kit, OpenCV, or a custom model in TensorFlow Lite / Core ML) to wiring up the UI in Swift/Kotlin or a unified framework like Flutter or React Native, whichever yields the best performance. Source code, build scripts, documented APIs, and a testable release build for each platform are expected at hand-off.

I have budgeted roughly £15 per hour; we can break that into clear milestones once you map out the sprint schedule. Let me know your preferred toolchain and any similar work you’ve shipped so we can get started right away.