Label2Genome

Label2Genome is a mobile + web AI app that turns packaged-food labels into gene-aware “fit scores.” Users upload raw DNA data (23andMe/Ancestry/MyHeritage exports) or select “no DNA” mode for general guidance. In-store, they scan a barcode; the app parses ingredients, additives, sweeteners, and macro profile, then checks against evidence-backed nutrigenomic markers (e.g., lactose tolerance, caffeine metabolism, sodium sensitivity, omega-3 response). It outputs a simple recommendation: green/yellow/red with a short explanation, confidence level, and safer alternatives. The product is brutally conservative: it avoids medical claims, highlights uncertainty, and focuses on actionable swaps rather than “personalized cures.” A web dashboard lets dietitians manage clients, set dietary constraints, and export shopping lists. Monetization is subscription plus a clinician tier; no sketchy supplement pushing.

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