01
Project Overview
- Cilo combines daily nutrition and health tracking in one mobile experience.
- Users can manage meal analysis, water, weight, workouts and intermittent fasting together.
02
The Problem
- Calorie tracking can require manual entry, while related health data may be split across apps.
03
The Solution
- Meal photos are analyzed by AI as estimates, and users review the result before adding it to the daily log.
04
My Role and Contribution
Product and mobile experience
- Product scope, daily tracking flows and mobile app
- Camera, image upload, Apple Watch and notification experiences
Backend and subscriptions
- Node.js, Express.js, REST APIs and PostgreSQL data model
- Premium access, in-app purchases and production deployment
05
Key Features
- AI-powered meal scanning
- Calorie, water, weight and workout tracking
- Intermittent fasting timer
- Smart reminders
- Apple Watch integration
06
Technical Architecture
- The mobile client and centralized REST API manage accounts, health records, subscriptions and AI analysis.
- Estimates are not saved as confirmed data without user approval.
07
Technical Challenges
Estimated calorie information
The app presents reviewable estimates rather than exact measurements from a photo.
08
Key Decisions
- AI results are presented as estimates.
- The fasting timer is calculated from start and end timestamps.
09
Outcome
- The mobile app, backend, AI analysis, notifications and subscription infrastructure are developed for production use.
10
Status
- Available on the App Store
- AI-powered meal analysis active
- Active development continues
11
Technologies
React NativeNode.jsExpress.jsPostgreSQLREST APIImage analysisApple In-App PurchasesPush Notifications