ARKit Jobs

I’m looking for a mobile Flutter developer to help implement a specific part of a kids project. The project focuses on AR filters, where the child sees the content in front of them in the real world using the mobile camera, not as a regular video on the screen. During the experience: • Eye / face movement tracking • Capture an images at a specific moments • Send the images to an existing backend The backend is already implemented and handles image processing. No backend work is required. Scope of work: • Implement AR camera filters • Eye / face tracking • Image capture and API integration • Mobile side only Platforms: • Android (ARCore) • iOS (ARKit) Preferred experience: • AR Filters • Camera / Face or Eye Tracking &...

I need a skilled Flutter developer to plug a very specific feature set into my existing kids-focused mobile app. The task is all on the client side: build AR camera filters that work with ARCore on Android and ARKit on iOS, track individual eye movements in real time, and capture short videos at defined moments, then push those clips to a REST endpoint that is already live and documented. You will wire up the camera feed, layer the AR assets, implement per-eye tracking accuracy (not just general face gestures), trigger recording when my code tells you to, and send the resulting MP4 to the backend with the required headers and auth token. No UI beyond a minimal overlay is expected, so you can concentrate on the functionality itself. Deliverables • Flutter module(s) that expose AR f...

I’m after verybasic proof-of-concept that demonstrates LiDAR-based 3D scanning on iPhone using Swift, ARKit/RealityKit, or any other native approach you find effective. When the app launches it should show a single button; tapping that button starts the LiDAR scan, stopping it generates one STL file (the only required format). Right after processing, the mesh needs to: • display inside the app so I can visually confirm the scan, and • be saved locally for offline access. Would be great if can be uploaded on gdrive if that doesn't add lotof work for this prototype. Performance is important—I’ve tested similar code in “Antigravity” and know the device can handle fast reconstruction, so I expect comparable speed here. No fancy UI, NO spla...