/Medic-apis

Primary LanguageHTML

Medic-apis

  • Source code of flutter Project
  • In REST API the authentication and0 Video calling Part is finished 1 day before hackthon Starts, the rest part is completed during period of 12-13 December 2020
  • In Predicton API all models are using Random forest classifier algorithm for diffrent data sets
  • Data Set is from Kaggle

Here is the apis used for medic apps

There are two folders :

  1. prediction-api
  2. rest-api

API built with

How to config

1. prediction-api

Its a ML api used for prediction its based on Python Flask

How its run

  1. Create a Virtual env:
      pip install virtualenv
      virtualenv my_name
  1. Install all plugins:
       pip install -r requirements.txt
  1. Run
      python app.py

Its Now avlable on http://XXX.X.X.1:5000

2. rest-api

  1. Create a file for intialize env varibles:
      nodemon.json
  1. Configure these variables
{
    "env": {
        "MONFO_ATLS_PW": "<Mongo-Db-Password>",
        "JWT_KEY": "<Databse-Key>",
        "appid": "<Agora Appid>",
        "token": "<Agora token>",
        "channel": "medic",
        "accountSid": "<Twilio Account SID>",
        "authToken": "<Twilio Auth Token>",
        "service": "<Twilio Service ID>",
        "Twilio_phone":<Twilio Number>
    }
}
  1. Install Module
    npm install
  1. Run
    npm start

Its now avilable on http://localhost:3000/

Request in Prediction API

  • Liver

    Request : http://XXX.X.X.1:5000/predict??type=liver

body:

{
    "Total Bilirubin": "1",
    "Direct_Bilirubin": "2",
    "Alkaline_Phosphotase": "3",
    "Alamine_Aminotransferase": "4",
    "Total_Protiens": "5",
    "Albumin": "6",
    "Albumin_and_Globulin_Ratio": "7"
}

  • Heart

    Request : http://XXX.X.X.1:5000/predict??type=heart

body:

{
    "cp": "2",
    "trestbps": "62",
    "chol": "68",
    "fbs": "0",
    "restecg": "1",
    "thalach": "98",
    "exang": "1"
}

  • Kidney

    Request : http://XXX.X.X.1:5000/predict??type=kidney

body:

{
    "Year": "54",
    "sg": "54",
    "al": "54",
    "su": "54",
    "rbc": "54",
    "pc": "54",
    "pcc": "54"
}

  • Diabetes

    Request : http://XXX.X.X.1:5000/predict??type=diabetes

body:

{
    "Pregnancies": "56",
    "Present_Price": "546",
    "BloodPressure": "546",
    "BMI": "65",
    "DiabetesPedigreeFunction": "56",
    "Age": "56"
}

  • Cancer

    Request : http://XXX.X.X.1:5000/predict??type=cancer

body:

{
    "concave points_mean": "87",
    "area_mean": "87",
    "radius_mean": "6",
    "perimeter_mean": "7",
    "concavity_mean": "68"
}

Respond

  • '0' For No Disease

  • '1' For Disease

{
    "data": "0",
    "status": "ok"
}