Contact person: Mobile 2D/3D Facial Authentication

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Location: Cairo, Egypt

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"My mobile application needs a secure, fast-to-enrol 2D + 3D facial recognition layer that handles user authentication on both iOS and Android. I already have the core app under way; what is missing is a drop-in module (native or cross-platform) that can:

• capture a face once, extract a 3D template from the depth map where hardware allows, fall back to high-quality 2D when it does not
• run liveness detection in real time to block spoofing
• verify a returning user in under one second on recent devices
• expose simple methods—enrol(), authenticate(), deleteTemplate()—so my team can wire the flow into Swift, Kotlin or a shared Flutter layer
• log confidence scores so we can tune a pass/fail threshold later

You are free to leverage tools such as ARKit / FaceID, ARCore, Camera2, MediaPipe, TensorFlow Lite or OpenCV, provided the final bundle remains lightweight and privacy-friendly (all processing on-device, no cloud calls).

Deliverables
1. Fully commented source or closed-source SDK plus binding wrappers for Xcode and Android Studio
2. A minimal demo app for each OS that shows enrolment and sign-in flows
3. Setup guide and API reference that lets my developers reproduce the build in CI
4. Test report covering accuracy, liveness false-accept rate, and average verification speed on two mid-range devices per platform

Acceptance is complete when the demo apps pass the test report and I can call the SDK from my existing codebase without errors." (client-provided description)