plant-disease-id/tasks/hyper-specific-plant-disease-id/README.md

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

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