feat: implement backend image classification with TensorFlow.js model

- Extend shared types for image classification, including PredictionProbability, UploaderMetadata, and ImageClassificationRecord.
- Create image_classifications table in the database with necessary fields and foreign key constraints.
- Implement disease mappers to convert database rows to shared disease records.
- Develop uploader client to handle image uploads to external service.
- Create image model service to load and classify images using TensorFlow.js.
- Add API routes for image classification, including GET for history and POST for new classifications.
- Implement frontend components for image classification form and display results.
- Update dashboard to integrate image classification functionality and display results.
- Document implementation plan for backend image classification.

This commit is contained in:

Asep Haryana Saputra

2026-05-22 15:13:22 +00:00

parent 229db82a08

commit 15c6be9e84

19 changed files with 1750 additions and 33 deletions

									
										packages/shared/src/index.ts
									
		+3
		
												View File
												
				@@ -20,4 +20,7 @@ export type {

				  ManualClassificationRequest,

				  ManualClassificationRecord,

				  DashboardSummary,

				  PredictionProbability,

				  UploaderMetadata,

				  ImageClassificationRecord,

				} from './classifications';