Objective: Allow users to upload a second optional image, manually identify the plant species, see dynamic confidence updates, top-5 predictions, and provide post-diagnosis feedback (accuracy rating + storage consent).

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

Tasks

01 — Extend types and add feedback DB schema → 01-api-types-and-schema.md
02 — Multi-image ensemble & species-constrained inference → 02-multi-image-inference-pipeline.md
03 — Load trained Swin-Tiny model with species/disease routing → 03-hierarchical-model-loader.md
04 — Enhanced API route for multi-image, species-aware identification → 04-enhanced-identify-api-route.md
05 — Upload page with optional second image and species selector → 05-upload-page-second-image-species.md
06 — Results dashboard with dynamic confidence and top-5 display → 06-dynamic-results-dashboard.md
07 — Post-diagnosis feedback component (accuracy / unsure / store consent) → 07-post-evaluation-feedback-component.md
08 — Feedback API endpoint for accuracy ratings and storage consent → 08-feedback-api-endpoint.md

Dependencies

01 ← 02  (types needed by inference)
01 ← 04  (types needed by API route)
01 ← 05  (types needed by upload page)
01 ← 06  (types needed by results dashboard)
01 ← 07  (types needed by feedback component)
01 ← 08  (schema needed by feedback API)
02 ← 04  (inference pipeline needed by API route)
03 ← 04  (model loader needed by API route)
05 ← 06  (upload outcomes fed into results)
06 ← 07  (results shown before post-eval)
04 ← 06  (API response needed by results dashboard)

Exit Criteria

User can optionally upload a second image and/or enter a species name
Confidence scores dynamically reflect the amount of information provided
Top-5 species/disease combo predictions are displayed
After diagnosis, user can rate accuracy (✓/✗/?) and opt in to image storage for training
Feedback is persisted to the database