Android Urine Test Algorithm Fix

I have a fully-working Android Studio project (Java) that photographs urine test strips and reads the colours, but its interpretation layer is letting us down: colours are detected correctly, yet the final numbers it returns are wrong. I need someone to dig into the existing code, locate the flaw in the result-interpretation logic, and at the same time refine the overall algorithm so the readings become clinically reliable. Because I’m interested in both fixing the bug and improving the core method, you will be free to refactor, recalibrate, or even redesign parts of the analysis pipeline provided the camera capture and colour-extraction steps remain intact. OpenCV and native Android APIs are already integrated, so you will be working inside that framework. Key deliverables: • Diagnose and eliminate the logic error that produces incorrect results. • Rework the interpretation algorithm so that, when tested against my reference images, each parameter reports within the manufacturer’s stated tolerance. • Supply concise comments plus a brief changelog explaining the adjustments. • Push a clean, buildable Android Studio project back to my private Git repository.