Private Repository
PlantWatch
AI-assisted plant care dashboard for identification, schedules, diagnostics, and care insights.
Next.js
Supabase
PlantNet
Anthropic
Gemini
Project Overview
PlantWatch turns indoor plant care into a daily operating flow: identify a plant, create a care plan, track tasks, and monitor health trends.
The web application was built from mobile backend contracts and Stitch screen concepts, then extended into a Next.js product with Supabase persistence and AI diagnostic paths.
The architecture supports plant identification, user-owned care schedules, health journals, and model-assisted guidance without tying the core product to one AI provider.
Built Around
Plant identification and care-plan creation flow.
Daily checklist and journal surfaces for repeated plant care.
AI diagnostics through Anthropic and Gemini boundaries.
Supabase-backed data model ready for authenticated care history.
Product Capabilities
Care Operations
Daily tasks and schedules for each plant.
- - Watering and fertilizing reminders
- - Plant-specific care plans
- - Daily checklist
- - Care consistency tracking
Identification
Photo-driven plant discovery and plan setup.
- - Plant photo workflow
- - PlantNet integration
- - Confidence review
- - Manual confirmation path
Health Insights
Diagnostics and trend surfaces for better decisions.
- - AI care guidance
- - Health journal
- - Sensor-ready model
- - Seasonal care insights
Technical Architecture
Product Layer
- - Next.js web application
- - Responsive mobile-first interfaces
- - Stitch-derived screen implementation
- - Vercel deployment
Data and AI
- - Supabase data services
- - PlantNet plant identification
- - Anthropic diagnostic flows
- - Gemini provider option
Project Signals
AI
Diagnostics
Care guidance layer
Photo
Identification
PlantNet-backed flow
Daily
Checklist
Habit loop
Private
Repository
Product build
Interested in Learning More?
This private project reflects hands-on product, engineering, and AI workflow development across the full stack.