Asep Haryana Saputra
15c6be9e84
- 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.
28 lines
647 B
JSON
28 lines
647 B
JSON
{
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"name": "@zeavis/api",
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"version": "0.1.0",
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"private": true,
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"type": "module",
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"scripts": {
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"dev": "bun --watch src/index.ts",
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"start": "bun src/index.ts",
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"typecheck": "tsc --project tsconfig.json",
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"db:generate": "drizzle-kit generate",
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"db:migrate": "drizzle-kit migrate"
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},
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"dependencies": {
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"@tensorflow/tfjs": "4.22.0",
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"@zeavis/shared": "workspace:*",
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"drizzle-orm": "^0.36.4",
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"elysia": "^1.1.25",
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"jpeg-js": "0.4.4",
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"pngjs": "7.0.0",
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"postgres": "^3.4.5"
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},
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"devDependencies": {
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"@types/bun": "latest",
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"drizzle-kit": "^0.27.1",
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"typescript": "^5.6.3"
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}
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}
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