Backend API With TensorFlow And Google Cloud

This is a project for the "Belajar Penerapan Machine Learning dengan Google Cloud" course from Dicoding.
This API acts as a bridge between the front end and the model deployed on Google Cloud to detect skin cancer.
The expected outcome is a machine learning application capable of analyzing skin images and classifying them into two classes: Cancer and Non-cancer.

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Structured Files

  ├── img
  ├── src
  │   ├── server
  │   │   ├── handler.js
  │   │   ├── routes.js
  │   │   ├── server.js
  │   ├── services
  │   │   ├── getDataFromFirestore.js
  │   │   ├── inference.js
  │   │   ├── loadModel.js
  │   │   ├── storeData.js
  ├── .dockerignore
  ├── .env (hidden)
  ├── .gitignore
  ├── Dockerfile
  ├── package.json
  ├── package-lock.json
  ├── README.md

API Endpoints Documentation

1. Test Connection

Endpoint: GET /
Description: Test the API connection to ensure it is running.
Response Example:

   {
       "status": "success",
       "message": "berhasil terkoneksi ke API"
   }

2. Predict Data

Endpoint: POST /predict
Description: Predict the classification of an uploaded image using the deployed machine learning model.

Request Payload: image (required): Image file in multipart/form-data format.

Response Example:

  {
  "status": "success",
  "message": "Model is predicted successfully",
  "data": {
      "id": "unique-id",
      "result": "Cancer",
      "suggestion": "Consult a doctor",
      "confidenceScore": 0.95,
      "createdAt": "2024-12-01T10:00:00Z"
  }
}

3. Predict Data History

Endpoint: GET /predict/histories
Description: Retrieve all prediction histories from the firestore database.

Response Example:

 {
  "status": "success",
  "data": [
      {
          "id": "unique-id-1",
          "history": {
              "result": "Non-cancer",
              "createdAt": "2024-12-01T09:30:00Z",
              "suggestion": "Healthy",
              "id": "unique-id-1"
          }
      },
      {
          "id": "unique-id-2",
          "history": {
              "result": "Cancer",
              "createdAt": "2024-12-01T09:45:00Z",
              "suggestion": "Consult a doctor",
              "id": "unique-id-2"
          }
      }
  ]
}

Our Technology

• NodeJS
• HapiJS
• Docker
• TensorFlow JS
• Google Cloud Storage
• Google Cloud Firestore ( No SQL )
• Google Cloud App Engine
• Google Cloud Run
• Google Cloud IAM

Cloud Architecture

Frontend UI

Cancer Detection

No Cancer Detection

Postman Testing API