01
Phase 01
Product Strategy Across Two Variants
We defined how one shared app foundation could support both a gout-specific assistant and a broader personalized nutrition product without duplicating core engineering effort.
Building an AI Nutrition Scanner for Gout-Friendly Product and Menu Decisions
A cross-platform mobile product suite, developed in English and Hebrew, that helps users scan food labels, packaged products, and menus to understand gout-friendliness, ingredient risks, and personalized nutrition fit in real time.
Project Overview
From fragmented operations to a calm, scalable system for modern music-school management.
The engagement covered two related client products built on the same underlying mobile platform. Gout IO focused directly on gout-safe eating decisions, while I Am Healthy expanded the same foundation into a broader personalized nutrition assistant with comparison tools, guest onboarding, and Hebrew-first localization. The products were developed for both English and Hebrew experiences, including right-to-left interface support where needed, while still sharing a reusable product architecture.
The Core Challenge
What was holding the operation back
The client wanted to launch two closely related health products around the same core need: helping people with gout and related dietary sensitivities make faster, safer food decisions. The product had to analyze labels, packaged foods, and restaurant menus from camera input, return understandable health guidance instead of vague OCR dumps, support free and paid user journeys, and remain practical across iOS and Android. At the same time, the second product variant needed broader personalization, guest-mode onboarding, Hebrew localization, right-to-left support, and a more flexible scoring model without losing the original gout-focused value proposition.
Our Strategic Solution
How the platform was re-architected
We built a Flutter-based AI nutrition scanning platform that could power both Gout IO and I Am Healthy from the same product foundation. Using Gemini-driven image analysis, the apps evaluate ingredients, menus, and food items, then translate the output into clear gout-friendly recommendations, comparison flows, health scores, and supporting explanations. Firebase services handle authentication, storage, sync, and activity history, while subscriptions, guest limits, favorites, onboarding, and localization layers let the same product architecture serve two market-facing experiences with different positioning.
Product Highlights
A cleaner way to turn food uncertainty into faster health decisions.
Gout IO and I Am Healthy combine AI analysis, personalization, and mobile-first onboarding to help users judge products and menus with much less guesswork.
AI Workflow
Scan to Guidance
The app turns labels, menus, and packaged food imagery into fast condition-aware recommendations users can act on immediately.
Decision Support
Comparison + Scoring
Users can compare products, review scan history, and see personalized health scoring rather than relying on generic ingredient lists.
Market Flexibility
2 Product Variants
One shared foundation supports both the gout-focused experience and the broader I Am Healthy variant without duplicating the platform.
Growth Model
Guest + Premium
Guest scanning, account migration, subscriptions, and scan-limit flows help balance user acquisition with monetization across both app stores.
Product Showcase
Nutrition Scanning Flows in the App
A direct look at product comparison, scan capture, result states, and the personalized mobile experience across both app variants.
Business Outcomes
AI-guided food decisions built for daily use.
The platform gives users faster nutrition judgment, stronger personalization, and a clearer path from first scan to long-term product use.
Platform Coverage
iOS + Android
Both products were delivered as cross-platform mobile apps on a shared Flutter foundation.
Analysis Modes
Labels, Menus, Products
Users can evaluate packaged foods, ingredient labels, and restaurant choices through the same AI workflow.
Personalization
Profile-Based
Health conditions, dietary preferences, scan history, and comparisons improve decision quality over time.
Go-To-Market Flexibility
2 Product Variants
The client could launch both Gout IO and I Am Healthy from one reusable product architecture.
Onboarding Model
Guest to Account
Users can start scanning immediately, then migrate their history into a registered profile when they are ready.
Monetization Layer
Subscriptions + Limits
Free-tier usage, premium upgrades, and store-managed entitlements support growth without weakening the core product experience.
Impact Summary
Gout IO and I Am Healthy turned a difficult, repetitive nutrition decision into an instant mobile workflow. Instead of manually reading labels, researching ingredients, or second-guessing menu choices, users can scan what they are about to consume and get clearer guidance tailored to gout management and broader health preferences. The shared product architecture also let the client launch two closely related app experiences without rebuilding the platform from scratch.
“Hastree brought a strong mix of responsiveness, technical clarity, and execution discipline. The team moved quickly, stayed collaborative, and did an excellent job implementing the AI-driven food analysis experience without compromising quality.”
Execution Framework
Built ThroughClear Delivery Steps
A practical, stage-by-stage process shaped to reduce risk, keep stakeholders aligned, and move the project from planning to launch with clarity.
Timeline
Ongoing Product Development
Steps
5 delivery phases
02
Phase 02
AI Scan and Reasoning Workflow
Camera, gallery, OCR-adjacent extraction, and Gemini analysis flows were shaped into a reliable experience that turns raw food imagery into actionable health guidance.
03
Phase 03
Personalization and Comparison Logic
We layered in condition-based scoring, preference selection, product comparisons, history, and favorites so users could make decisions in context rather than from one-off scans.
04
Phase 04
Monetization and User Lifecycle
Guest limits, subscription upgrades, Firebase-backed accounts, and migration paths were added to support both acquisition and long-term retention across free and premium users.
05
Phase 05
Localization and Production Hardening
The second app experience introduced Hebrew localization, RTL layouts, and a polished production-ready mobile flow while keeping the shared platform stable across iOS and Android.
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