A mobile app that uses AI-powered computer vision to analyze photos of drug test strips, providing objective line intensity measurements and clear pass/fail interpretations. The app tracks results over time, calculates probability of passing future tests based on substance type, usage history, metabolism factors, and time elapsed, and offers visual trend analysis showing progress toward negative results.

At-home drug testing has surged with remote work policies and pre-employment screening becoming standard, while smartphone camera quality and on-device AI make accurate computer vision analysis accessible. The legalization of cannabis in many states has created a gray area where users need to manage substance testing for employment despite legal recreational use.