Photograph any product, get an A+–F health-safety grade in seconds.
iOS
Computer Vision
OCR
LLM
Toxicology DB
App Store
Freemium
//FIG.01 — self heal
An AI consumer product-safety scanner, live on the App Store. Point your camera at any product and OCR, computer vision, a toxicology database, and an LLM risk model converge into a single A+–F health-safety grade.
//Role
Founder & engineer
//Status
Live on the App Store
//Access
Live / public
//Problem
Product-safety information is buried in fine print, jargon, and databases ordinary shoppers never see. The goal was a single gesture — point your phone at a product — that returns an honest, legible verdict on how safe it is.
//Architecture
A photograph flows through OCR and computer vision to read the label, an integration with a toxicology database scores the detected ingredients against known hazards, and an LLM risk model fuses everything into one A+–F health-safety grade — the proof that this is a real shipped product, not a prototype.
//Role
Founder and engineer — the vision pipeline, the toxicology scoring, the LLM risk model, the App Store release, and the freemium product.
//Outcome
Live on the Apple App Store with an Android beta in progress; freemium with Student and Family tiers. The "I ship real consumer products" proof.
What it took
Technical proof.
▸Shipped to the Apple App Store; Android in beta.
▸OCR + computer vision read any label, even partial or angled.
▸Toxicology-database integration scores ingredients against known hazards.
▸LLM risk model fuses the signals into one consumer-legible A+–F grade.
▸Freemium model: Student ($9.99/mo) and Family ($29.99/mo) tiers.
01Live on the App Store