Scan Label AI — Grocery Label Intelligence

01 / PROBLEM

Shoppers stand in front of packaged food with no fast way to judge whether it's actually healthy or worth the price — nutrition labels are dense, ingredient lists are jargon-heavy, and comparing two products means reading both by hand.

02 / BEFORE

No product existed for this — shoppers relied on brand marketing, memorized rules of thumb, or nothing at all when deciding what to put in the cart.

03 / SYSTEM

Scan Label AI lets a shopper scan any packaged food and immediately see its health profile, price and real value under the tagline 'Eat smarter. Spend smarter.' An LLM reads the scanned label and ingredient list to flag unsafe or red-flag ingredients (additives, allergens, ultra-processed markers) in plain language, not just raw nutrition numbers. Users can compare products side-by-side, build a running basket, and dig into food-economics data that connects nutrition quality to cost, alongside a personal profile that tracks their scanning history.

04 / ARCHITECTURE

Interface: a scan-first web app with dedicated product, comparison, basket and food-economics views. Services: label/barcode scanning, LLM-based ingredient analysis and unsafe-ingredient recognition, nutrition and value scoring, product comparison logic. Database: per-user basket and profile state. Infrastructure: deployed on Vercel for instant, camera-ready access from any phone browser.

05 / RESULT

A live scan-to-verdict flow that collapses label-reading, ingredient-safety checks and price comparison into a single action, turning 'is this worth it' from a manual judgment call into an instant answer at the shelf.

06 / PROOF

Live product at scan-label-ai.vercel.app. No client testimonial is published yet — evaluate the platform directly rather than through a quote.

07 / STACK

Next.js · Barcode/label scanning · LLM ingredient analysis · Unsafe-ingredient recognition · Nutrition & price scoring · Vercel