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.

The Today digest triages the whole collection into what actually needs you (mobile) The Today digest triages the whole collection into what actually needs you (desktop)
The Today digest triages the whole collection into what actually needs you — species-specific tasks with overdue states, then the watering schedule coming up.
Every plant gets a dossier: care cadences from a sourced species database (mobile) Every plant gets a dossier: care cadences from a sourced species database (desktop)
Every plant gets a dossier: care cadences from a sourced species database, one-tap Watered / Fed / Repotted logging, and an AI read of the latest photo.

Features

Reviewed October 2, 2026.


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