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.

packages/shared/src/classifications.ts

@@ -15,6 +15,40 @@ export type ManualClassificationRecord = {
   disease: DiseaseCatalogItem;
 };
 
+export type PredictionProbability = {
+  diseaseSlug: DiseaseSlug;
+  label: DiseaseCatalogItem['label'];
+  confidence: number;
+};
+
+export type UploaderMetadata = {
+  public_id: string;
+  file_name: string;
+  mime_type: string;
+  size_bytes: number;
+  file_type: string;
+  uploader_id?: number;
+  created_at: string;
+  telegram_file_id?: string;
+  telegram_file_unique_id?: string;
+  storage_chat_id?: number;
+  storage_message_id?: number;
+  download_url: string;
+};
+
+export type ImageClassificationRecord = {
+  id: string;
+  predictedDiseaseSlug: DiseaseSlug;
+  confidence: number;
+  probabilities: PredictionProbability[];
+  imageUrl: string;
+  originalFileName: string;
+  uploaderPublicId: string;
+  uploader: UploaderMetadata;
+  createdAt: string;
+  disease: DiseaseCatalogItem;
+};
+
 export type DashboardSummary = {
   diseaseCount: number;
   classificationCount: number;

packages/shared/src/index.ts

@@ -20,4 +20,7 @@ export type {
   ManualClassificationRequest,
   ManualClassificationRecord,
   DashboardSummary,
+  PredictionProbability,
+  UploaderMetadata,
+  ImageClassificationRecord,
 } from './classifications';