Plant Tracker
Case study · Tech & fun
A local plant-care PWA with photo intake, sourced species care, a Today task digest and care logging. AI photo analysis is asynchronous; no public deployment.
- Stack
- Flask + Supabase behind a vanilla-JS PWA; photo analysis runs out-of-band through Claude Code against a sourced species database.
- Status
- Active
- Dates
- Reviewed October 2, 2026; data dates shown in the app
- Links
- Local-only — runs on the home network, no public deploy or repo
Background
Which plants need care today, and what supports that schedule?
Plant Tracker is a local photo-intake and care-log app. Sourced species guidance informs task cadences; AI photo analysis is queued for a separate session rather than presented as an instant authoritative diagnosis.
The Today view highlights tasks and the upcoming schedule. Plant dossiers hold care profiles and recorded watering, feeding and repotting. The project has no public deployment.
Screenshots
Earlier local screenshots. The current frontend has a loading error; no public demo is available.
Features
- Photo intake: Uploads preserve a pending-analysis state until analysis is completed.
- Species guidance: A source-linked care database supplies cadences and common-care context.
- See care tasks that are due, overdue or coming up.
- Each plant has a care profile, photos and care history.
- Local scope: The app serves a personal collection locally; published examples avoid personal collection data.
Reviewed October 2, 2026.