We’re looking for an experienced mobile app developer (or team) to build "Jack Approved", a barcode scanner and health rating app similar to “Bobby Approved.” This app will help users scan food items and determine if the product is clean, safe, and approved based on ingredient standards.
What We Need Built:
• Mobile app for iOS & Android (Flutter preferred)
• Barcode scanner
• Integration with a grocery product database (e.g., Edamam, Nutritionix, Go-UPC)
• Ingredient analysis engine that flags harmful ingredients
• Verdict system (e.g., “Jack Approved” or “Not Approved”)
• Optional: user accounts, favorites, grocery lists
• Admin panel to manage product data and banned ingredient rules
• Push notifications
• Future integration of AI assistant using ChatGPT or Perplexity
Requirements:
• Experience building consumer-facing mobile apps
• Proven success with barcode scanning or grocery/nutrition apps
• Experience with OpenAI API or similar AI services (preferred)
• Strong communication and deadline reliability
Scope Of Work
Jack Approved” APP
Scope of Work (SOW)
Project Title:
Development of "Jack Approved" Mobile Application
Project Summary:
"Jack Approved" will be a mobile app that helps users scan grocery products and instantly determine if they meet health and ingredient standards curated by Jack Riess (InsidersHealth.ai). Similar to the Bobby Approved app, it will integrate a product database, barcode scanning, AI-driven ingredient analysis, and optional user accounts.
🔧 Core Features & Functionality
1. User Interface (UI/UX)
• Clean, intuitive, and brand-consistent design (based on health and trust)
• Dark/light mode toggle
• Onboarding tutorial (optional)
• Search bar and barcode scanner on homepage
2. Barcode Scanner
• Use device camera to scan UPC/EAN codes
• Fetch product details from integrated grocery product database
• Support manual entry if scan fails
3. Ingredient Analysis Engine
• Compare ingredient list against a curated database of “banned/harmful” ingredients
• Assign a “Jack Approved” or “Not Approved” verdict
• Show educational breakdown: explain why certain ingredients are flagged
• Support real-time updates to ingredient rules via admin panel
4. Product Database Integration
• Integrate a licensed grocery product API (choose from: Edamam, Go-UPC, MyNetDiary, Nutritionix)
• Support bulk updates and real-time fetching
• Allow adding custom products manually if missing from the API
5. User Features
• Optional user login (email/social login)
• Save favorite “Jack Approved” products
• Create custom grocery lists
• Submit product scan requests or suggest missing items
6. Admin Portal (Web-based)
• Approve/flag products manually
• Add or update banned ingredient rules
• Manage submitted product requests
• View analytics (top scanned items, approval rates, etc.)
7. AI Assistant (Phase 2)
• Integrate with OpenAI GPT API and/or Perplexity or Insidershealth.ai for smart search
• Allow users to ask nutrition questions and get science-backed answers
• Cross-reference with product database where possible
8. Analytics & Logging
• Track scan volume, most scanned items, popular flagged ingredients
• Monitor user engagement (return rate, time in app)
• Store logs for app performance and crash reports
9. Notifications & Updates
• Push notifications for new approved brands, ingredient alerts, or health tips
• Optional email integration (Mailchimp or custom)
10. Monetization & Scalability
• Freemium model (free core features + premium user features in future)
• Prepare structure for in-app purchases or subscriptions
• Affiliate link support to “Jack Approved” brands
• Ensure codebase is modular for future features (e.g. AI plan generator)
🧠 Technical Requirements
Platforms:
• iOS (App Store)
• Android (Google Play)
Tech Stack Suggestions:
• Frontend: Flutter or React Native
• Backend: Node.js, Python Flask, or Django
• Database: Firebase, PostgreSQL, or MongoDB
• Scanner: ZXing / Firebase ML Kit / MobileScanner
• Hosting: AWS / GCP / Firebase
📅 Timeline & Milestones (Suggested)
Phase Deliverable Duration
Phase 1 Wireframes & UI mockups 1–2 weeks
Phase 2 Core app (scanner, database, logic) 4–6 weeks
Phase 3 User features & admin panel 2–4 weeks
Phase 4 QA testing & launch 1–2 weeks
Phase 5 (Optional) AI assistant integration TBD
📎 Deliverables
• Full source code (mobile + backend)
• Admin portal
• Documentation (for API keys, backend admin access, and codebase)
• Deployment to App Store and Google Play
• 30-day post-launch support for bug fixes