People often have medicines at home without a clear understanding of what they are for, their risks, or what information deserves attention before use.
A camera-first medicine label assistant designed to turn an unfamiliar medicine pack into a clearer, safer next step.
People often have medicines at home without a clear understanding of what they are for, their risks, or what information deserves attention before use.
I designed the experience around camera-first identification, structured medicine facts, explicit safety scoring and constrained guidance rather than an open-ended medical chatbot.
The concept progressed from a Custom GPT into a native mobile product flow with label scanning, curated medicine information, safety cues and alternatives.
In high-stakes products, the design of uncertainty, guardrails and escalation is part of the product itself, not a disclaimer added at the end.
Open the full architecture, modeling, validation and lessons.