AI / Health
NutriSage
AI-Powered Nutrition & Health Platform
Turning a health product idea into a production-ready AI application.
Role: Lead Flutter Developer
01
Overview
NutriSage is a nutrition platform helping users manage their health journey through a modern mobile experience—combining AI features, nutrition data, authentication, and subscription workflows.
02
Client Situation
The client wanted a nutrition platform that could help users manage their health journey through a modern mobile experience. The product needed more than a simple interface: AI functionality, nutrition data handling, authentication, subscription workflows, and reliable backend communication.
03
Challenge
The challenge was creating a smooth user experience while connecting multiple systems—AI-powered features, nutrition information, authentication, subscription management, backend integration, and production release requirements.
04
My Approach
I reviewed the product requirements, identified technical dependencies, and planned a scalable Flutter architecture that could support future growth without blocking the first production release.
05
Technical Decisions
- Chose Flutter as the primary client so iOS and Android could share one product surface and release cadence.
- Structured auth, nutrition data, and subscription flows as clear modules so each system could evolve independently.
- Planned AI and nutrition API communication with explicit loading, error, and retry states to keep the experience reliable.
- Aligned App Store / production release requirements early so shipping was part of the architecture, not an afterthought.
06
What I Built
- Flutter mobile application
- Authentication workflows (including Apple and Google Sign-In)
- AI-powered product features
- Nutrition data and calculation workflows
- Subscription infrastructure
- Firebase and backend integrations
- Production release support
07
Architecture
A layered Flutter client with presentation, state/business logic, and service/repository layers communicating with Firebase and nutrition/AI APIs for auth, data, and subscriptions.
- Flutter App
- Presentation Layer
- State / Business Logic
- Services / Repositories
- Firebase · Nutrition APIs · AI Services
- Backend / Cloud
08
Technical Challenges
- Connecting AI features to a usable nutrition workflow without fragile UX.
- Coordinating authentication, subscriptions, and backend state across the product.
- Meeting production and store-release requirements while the feature set was still expanding.
09
Solution
I implemented modular Flutter workflows for auth, nutrition data, AI features, and subscriptions, with clear API boundaries and release-ready error handling so the product could ship as a complete experience.
10
Outcome
Delivered a complete AI-powered nutrition experience designed for reliability, scalability, and real users—with production release support in place.
Have a similar AI or health product to build?
From product idea to production release — let's discuss what needs to be built next.