I’m building an Android application that plugs into the VFS Global appointment-booking flow and I need help completing the critical face-verification piece. The core task is a robust, real-time liveness check that can reliably confirm the user is present, not a photo or video replay. I’d like the liveness routine to trigger automatically as soon as the front-facing camera detects a face, then return a clear pass / fail flag that I can log and forward to the VFS Global API. Beyond that central module, the app will also handle two supporting flows: • Appointment scheduling – the user should be able to view slots pulled from VFS Global and lock in a time without leaving the app. • User authentication – I have not fixed a method yet, so feel free to recommend the most secure approach. Email-password, biometrics or multi-factor are all possibilities as long as they integrate smoothly with the liveness logic. Key points I want to see in your delivery: 1. Source-code for Android (Kotlin or Java) with clean architecture. 2. Liveness detection built with a proven library or custom model (ML Kit, OpenCV, or your suggestion) and benchmarked for false-accept / false-reject rates. 3. Seamless hand-off of verified session data to the VFS Global endpoints. 4. A short README that lets me compile, run and test the whole workflow on a recent Android device. If you have previous work in face recognition, anti-spoofing or secure booking apps, please share a short demo or code sample when you reply. I’m aiming to move fast once I see the right fit.