# Hyper-Specific Plant Disease Identification

Objective: Build a Next.js web application with a custom ML model that lets users upload plant photos and receive hyper-specific disease identification with treatment guidance.

Status legend: [ ] todo, [~] in-progress, [x] done

## Tasks

- [x] 01 — Next.js project scaffold, Tailwind CSS, and directory structure → `01-nextjs-project-scaffold.md`
- [x] 02 — Plant disease knowledge base schema, seed data, and API endpoints → `02-plant-disease-knowledge-base.md`
- [x] 03 — Image upload component and preprocessing pipeline → `03-image-upload-and-preprocessing.md`
- [x] 04 — ML model loading, inference pipeline, and confidence scoring → `04-ml-model-integration.md`
- [x] 05 — Results page with disease cards, symptom comparison, and treatment steps → `05-identification-results-page.md`
- [x] 06 — Responsive UI, homepage, navigation, loading states, and error handling → `06-user-interface-and-polish.md`
- [x] 07 — Test suite, Vercel deployment config, and CI pipeline → `07-testing-and-deployment.md`

## Dependencies

- 01 → 02, 03, 06
- 02 → 04
- 03 → 04
- 04 → 05
- 05, 06 → 07

## Exit Criteria

- The feature is complete when a user can upload a plant photo and receive a hyper-specific disease diagnosis with confidence score, symptoms, causes, treatment steps, and prevention tips — all on a responsive, mobile-first site deployed to Vercel.