Rootin
An AI-powered plant care companion that combines IoT soil moisture sensors with Flutter mobile app, real-time monitoring, AI plant identification, and intelligent notifications.
My Role
UI/UX Designer & Frontend Developer
Core Stack
Flutter, Dart, Firebase, Figma, GitHub
Timeline
2024.09 — 2024.12
Live Project
—
The Challenge
The core problem
Plant owners don’t know when or how much to water. Overwatering and underwatering are common; care is guesswork. Without real-time soil data or clear guidance, plants suffer and users lose confidence.
Product vision
One app that connects custom BLE soil sensors with intelligent recommendations, real-time moisture visualization, and AI-powered plant identification—so plant care becomes data-driven and proactive.
What I owned
Designed and built the end-to-end Flutter app: 38+ screens, custom BLE service for sensor data, Firebase integration, and TensorFlow Lite for on-device plant ID. Delivered a consistent design system (status colors, plant cards, FL Chart for weekly trends), bottom navigation, and context-aware notifications. Ensured under-2s latency for sensor updates and 95%+ notification delivery.
Results
99%+ BLE connection success, under-2s data latency, 95%+ plant identification accuracy, and 95% notification delivery. Multi-language support (English/Korean). Users get real-time visibility and actionable care guidance instead of guesswork.
Design System
Consistent color system for status (ideal, underwater, overwater), reusable plant cards, status icons, bottom navigation, and FL Chart components for weekly moisture trends.
Typography
Inter Bold
Inter Medium
Inter Regular
Colors
Primary
#06C1C7
Secondary
#9BE6E9
Accent
#FF004F
White
#FFFFFF
Black
#000000
Gray 100
#F5F5F5
Gray 200
#EEEEEE
Gray 300
#E0E0E0
Gray 600
#757575
Home
Today's watering status, my plants grid with status indicators, and quick add.
Plant detail & real-time moisture
Care tips, soil moisture alerts, weekly trends chart, and upcoming watering.
Impact & Results
Rootin achieved high reliability across BLE connectivity, notification delivery, and plant identification, with multi-language support (English/Korean).
95%
Notification Delivery
99%+
BLE Connection Success
95%+
Plant ID Accuracy
<2s
Data Latency
Reflection
I’d run a longer beta to tune BLE reconnection and battery usage. I learned how important it is to design for sensor delay and offline states so the app feels responsive even when data is stale.