28 lines
1.4 KiB
Markdown
28 lines
1.4 KiB
Markdown
# Hyper-Specific Plant Disease Identification
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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.
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Status legend: [ ] todo, [~] in-progress, [x] done
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## Tasks
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- [x] 01 — Next.js project scaffold, Tailwind CSS, and directory structure → `01-nextjs-project-scaffold.md`
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- [x] 02 — Plant disease knowledge base schema, seed data, and API endpoints → `02-plant-disease-knowledge-base.md`
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- [x] 03 — Image upload component and preprocessing pipeline → `03-image-upload-and-preprocessing.md`
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- [x] 04 — ML model loading, inference pipeline, and confidence scoring → `04-ml-model-integration.md`
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- [x] 05 — Results page with disease cards, symptom comparison, and treatment steps → `05-identification-results-page.md`
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- [x] 06 — Responsive UI, homepage, navigation, loading states, and error handling → `06-user-interface-and-polish.md`
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- [~] 07 — Test suite, Vercel deployment config, and CI pipeline → `07-testing-and-deployment.md`
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## Dependencies
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- 01 → 02, 03, 06
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- 02 → 04
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- 03 → 04
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- 04 → 05
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- 05, 06 → 07
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## Exit Criteria
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- 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.
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