feat: implement backend image classification with TensorFlow.js model

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- 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.

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Asep Haryana Saputra

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

parent 229db82a08

commit 15c6be9e84

19 changed files with 1750 additions and 33 deletions

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