Mobile App Developer Needed — Food Label Scanner App

I’m building an iOS & Android mobile app that allows users to scan the ingredient list and nutrition table on packaged food products and instantly see whether the product is healthy, okay, or unhealthy based on predefined rules and user dietary goals. This is a rule-based MVP, not a custom AI/ML research project.

Core Features Required:-

1. User Authentication
Email + password signup & login
Use Firebase Authentication

2. Camera Scanner (Main Screen)
Camera opens immediately after login
Users scan ingredient list and nutrition table
Flashlight (torch) ON/OFF toggle
Auto-focus support
Works well in low-light environments

3. OCR (Text Extraction)
Extract text from scanned images
Preferably using Google ML Kit OCR
Clean and structure the extracted text

4. Health Evaluation Logic
Apply predefined, rule-based logic (rules will be provided)

Output one of:
Green (Healthy)
Yellow (Okay occasionally)
Red (Unhealthy)

5. Result Screen
Show colour-based verdict clearly
Explain why (e.g., added sugar, additives, refined flour)
Highlight problematic ingredients
Suggest healthier alternatives for Yellow & Red products
Verdict should adapt based on user-selected dietary goal (e.g., high protein, sugar-free, weight loss, energy)

6. Dietary Goal Selection
User selects one primary goal during onboarding
Verdict logic adapts to this goal

7. Scan History (Optional if time permits)
Store past scans per user

Tech Stack Preference:-

Frontend: Flutter
Authentication & database: Firebase
OCR: Google ML Kit
Platform: iOS & Android