Build shape
Multilingual consumer ingredient-scanning app
Halal ingredient scanning app
Halal Lens
An AI scanning app that reads ingredient labels directly and classifies them as halal, haram, or mushbooh.
FoodOCRMultilingual
Product brief
The real requirement was a scan flow that could judge ingredient labels directly even when no barcode data existed.
Halal Lens scans ingredient text directly instead of depending on barcodes. The product combines OCR with local ingredient seed data so it can still classify products when barcode coverage is missing.
The repo shows scan results, ingredient detail, history, share cards, favorites, notifications, and EN/AR/KO localization with RTL handling. It is a consumer AI product built around fast decisions and explanation.
Scope
Problem
Problem
The app had to work even when barcode databases failed, so OCR and local ingredient knowledge needed to cooperate.
Implementation
I combined camera scanning, local seed data, verdict screens, history, share cards, favorites, and EN/AR/KO localization with RTL support.
Best fit
This fits consumer apps where text scanning, instant classification, multilingual UX, and offline reference data matter.
Technical structure
Product evidence
Primary stack
Flutter · Riverpod · GoRouter
Data & sync
sqflite · Firebase · Cloud Functions
Operational surface
Google/Apple sign-in · AdMob · IAP · RTL
Stack
App client
Flutterhooks_riverpodflutter_hooksgo_routerdio
Scanning and data
cameraimage_cropperimage_pickersqfliteFirebase AuthCloud FirestoreCloud Functions
Operations and identity
Google Sign-InApple Sign InFirebase MessagingRemote ConfigAdMobin_app_purchasewebview_flutter
Integrations
Firebase AuthCloud FirestoreCloud FunctionsGemini OCR pipelineGoogle Sign-InApple Sign InFCMAdMobGoogle Play Billing
Screens
Product evidence
App
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