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Machine Learning

For documentation on the model description is here

REST API ML

Introduction

This API provides endpoints to recomendation, prediction and financial literacy


_Demo : https://savemoney-flask-rdiyde43ea-uc.a.run.app/

Setup local test

open the terminal

git clone https://github.com/SaveMoneyCapstone/ML-Repo.git

cd ML-Repo

docker build -t api-model:v1 -f Dockerfile .

docker run -it --rm -p 8080:8080 api-model:v1

Test using script

open the terminal

python3 -m ensurepip or python -m ensurepip

pip install requests

For Recomendation saham

open predict-test.py in editor code

  user = {
    "incomes": [50000, 80000, 40000, 45000, 90000, 80000, 75000],
    "expense": [70000, 30000, 45000, 45000, 93000, 77000, 80000]
  }

replace value key "incomes" [50000, 80000, 40000, 45000, 90000, 80000, 75000] --> with user incomes for the last 7 days

replace value key "expense" [70000, 30000, 45000, 45000, 93000, 77000, 80000] --> with user expense for the last 7 days

open the terminal

python predict-test.py

For Recomendation and prediction expense

open tf-predict-test.py in editor code

  user = {
    "expense": [150000,  200000,  100000,  120000, 125000,  80000,  90000]
  }

replace value key "expense" [150000, 200000, 100000, 120000, 125000, 80000, 90000] --> with user expense for the last 7 days

open the terminal

python tf-predict-test.py

Recomendation saham Endpoints

  • Endpoint: /recomendation
  • Method: POST
  • Description: Financial product recommendations based on user income and expenses.
  • Content-Type: application/json
  • Body: 
    {
  "incomes": [50000, 80000, 40000, 45000, 90000, 80000, 75000],
  "expense": [70000, 30000, 45000, 45000, 93000, 77000, 80000]
}

replace value key "incomes" [50000, 80000, 40000, 45000, 90000, 80000, 75000] --> with user incomes for the last 7 days

replace value key "expense" [70000, 30000, 45000, 45000, 93000, 77000, 80000] --> with user expense for the last 7 days

  • Response: 
      {
  "data": {
      "Pemasukan User": [
          50000,
          80000,
          40000,
          45000,
          90000,
          80000,
          75000
      ],
      "Pengeluaran User": [
          70000,
          30000,
          45000,
          45000,
          93000,
          77000,
          80000
      ],
      "recomendations": [
          {
              "close": 2900,
              "company.logo": "https://s3.goapi.id/logo/AMRT.jpg",
              "company.name": "Sumber Alfaria Trijaya Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 2885.0,
              "high": 2910,
              "low": 2840,
              "open": 2890,
              "symbol": "AMRT",
              "volume": 19292100
          },
          {
              "close": 5550,
              "company.logo": "https://s3.goapi.id/logo/BBRI.jpg",
              "company.name": "Bank Rakyat Indonesia (Persero) Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 5493.75,
              "high": 5550,
              "low": 5425,
              "open": 5450,
              "symbol": "BBRI",
              "volume": 270760600
          },
          {
              "close": 486,
              "company.logo": "https://s3.goapi.id/logo/BBYB.jpg",
              "company.name": "Bank Neo Commerce Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 464.5,
              "high": 494,
              "low": 438,
              "open": 440,
              "symbol": "BBYB",
              "volume": 605238300
          },
          {
              "close": 5350,
              "company.logo": "https://s3.goapi.id/logo/BBNI.jpg",
              "company.name": "Bank Negara Indonesia (Persero) Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 5300.0,
              "high": 5400,
              "low": 5225,
              "open": 5225,
              "symbol": "BBNI",
              "volume": 91435600
          },
          {
              "close": 178,
              "company.logo": "https://s3.goapi.id/logo/BRMS.jpg",
              "company.name": "Bumi Resources Minerals Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 176.0,
              "high": 182,
              "low": 172,
              "open": 172,
              "symbol": "BRMS",
              "volume": 302825500
          },
          {
              "close": 5950,
              "company.logo": "https://s3.goapi.id/logo/BMRI.jpg",
              "company.name": "Bank Mandiri (Persero) Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 5900.0,
              "high": 6025,
              "low": 5800,
              "open": 5825,
              "symbol": "BMRI",
              "volume": 189383100
          },
          {
              "close": 7200,
              "company.logo": "https://s3.goapi.id/logo/BREN.jpg",
              "company.name": "Barito Renewables Energy Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 7356.25,
              "high": 7625,
              "low": 7025,
              "open": 7575,
              "symbol": "BREN",
              "volume": 29173400
          },
          {
              "close": 101,
              "company.logo": "https://s3.goapi.id/logo/BIPI.jpg",
              "company.name": "Astrindo Nusantara Infrastruktur Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 101.25,
              "high": 103,
              "low": 100,
              "open": 101,
              "symbol": "BIPI",
              "volume": 600839300
          },
          {
              "close": 242,
              "company.logo": "https://s3.goapi.id/logo/WIKA.jpg",
              "company.name": "Wijaya Karya (Persero) Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 217.0,
              "high": 254,
              "low": 183,
              "open": 189,
              "symbol": "WIKA",
              "volume": 767534500
          },
          {
              "close": 2490,
              "company.logo": "https://s3.goapi.id/logo/ADRO.jpg",
              "company.name": "Adaro Energy Indonesia Tbk.",
              "date": "2023-12-14",
              "hasil_mean": 2475.0,
              "high": 2510,
              "low": 2440,
              "open": 2460,
              "symbol": "ADRO",
              "volume": 26268500
          }
      ]
  },
  "status": {
      "code": 200,
      "message": "Success recomendation"
  }
}

if body data is not less or more than a list of 7

  • Response: 
    {
  "code": 400,
  "message": "Invalid length data. Please data containts a array = 7."
},
"data": "Tidak ada Rekomendasi Saham",

if user expenses are more than income

  • Response: 
    "status": {
    "code": 200,
    "message": "Success recomendation"
},
"data": {
    "Pemasukan User": [40000, 1000, 2000, 2000, 3000, 4000, 5000],
    "Pengeluaran User": [400000, 10000, 20000, 20000, 30000, 40000, 500000],
    "recomendations": "Tidak ada rekomendasi Saham, Pengeluaran anda terlalu banyak"
}

no key authentication

Recomendation and prediction expense

  • Endpoint: /predict
  • Method: POST
  • Description: provides user spending recommendations based on algorithm predictions
  • Content-Type: application/json
  • Body: 
    {
  "expense": [25000, 30000, 45000, 10000, 10000, 12000, 30000]
}

replace value key "expense" [25000, 30000, 45000, 10000, 10000, 12000, 30000] --> with user expense for the last 7 days

  • Response: 
      {
  "data": {
      "histories Pengeluaran User": [
          25000,
          30000,
          45000,
          10000,
          10000,
          12000,
          30000
      ],
      "prediksi pengeluaran besok": 9499,
      "rekomendasi pengeluaran": 9499
  },
  "status": {
      "code": 200,
      "message": "Success recomendation and predict"
  }
}

if body data is not less or more than a list of 7

  • Response: 
    {
  "code": 400,
  "message": "Invalid length data. Please data containts a array = 7."
},
"data": "Tidak ada Rekomendasi Saham",

if the prediction from the algorithm is smaller than the current spending

  • Response: 
    "status": {
  "code": 200,
  "message": "Success recomendation and predict"
},
"data": {
  "histories Pengeluaran User": [70000, 30000, 45000, 45000, 93000, 77000, 80000],
  "prediksi pengeluaran besok": 50000,
  "rekomendasi pengeluaran": 50000
}

no key authentication

Financial related articles and news

  • Endpoint: /news
  • Method: GET
  • Description: Providing all the news and literacy about finance, investment and stock recommendations from Indonesia.

no key authentication