Status date: 2026-08-15
- Python compilation, JavaScript syntax checks, and the full automated suite pass: 15 tests passed.
- The configured OpenWeather integration was tested with a real request without printing or returning the key. It returned
LIVEstatus and eight forecast points. - Disease artifact inspection found a 128×128×3 input, 15 output units, and no embedded labels. Repository inspection found no disease dataset, label file, class-index JSON, or authoritative disease training code; see
MODEL_PROVENANCE.md. The safeModel class Nbehavior is therefore retained. - Camera preparation (
capture=environment), voice feature detection/fallback and intent transcript, language asset parity, responsive breakpoints, PWA shell caching, offline API safety, demo labeling, buyer/equipment/storage workflows, role checks, CSRF, upload validation, moderation authorization, and secret scanning are covered by implementation checks and tests.
- Complete the hands-on browser/device checklist in
BROWSER_QA_CHECKLIST.mdfor phone, tablet, desktop, camera, voice, PWA installation, offline/reconnect, and accessibility behavior. - Supply
data/disease_labels.jsononly if the original model owner can provide a verified 15-entry mapping. - Replace curated demo content with approved authoritative sources before presenting the application as live.
- Rotate the historically exposed OpenWeather credential externally and use a strong production
SECRET_KEYbefore deployment. - Repair the pre-existing invalid/read-only
.gitmetadata before creating a local commit.
No GitHub push was performed. The application is technically ready for the final GitHub preparation stage after the manual browser pass, credential rotation, and Git metadata repair; it is not ready to publish as-is because those release controls remain outstanding.