Step 1: docker-compose down && docker-compose up -d
Step 2: mvn clean install && java -jar target/smartx-iproxy-0.0.1-SNAPSHOT.jar
Step 3: python3 smartX-iTunnels/tunnelConsumer.py
Step 4: Launch Postman & launch smartX-iProxy-test/smartX_iProxy_System.postman_collection.json
Step 5: Hit http://localhost:9090/kafka/publish?message=helloworld17, you will see the message in the console of python3 window\

Module: smartX-iBrains Introduction:

This module consists of 4 different Modules

• source-module:
  • Read Data from the data-module/ExperienceSalaryProxyForward_Data.csv, Evaluate and Build the Intelligent Models
  • Data Model: Data Model file gerenarated in model-module/ExperienceSalaryModel.pkl
  • ProxyForward Model: ProxyForward Model file generated in model-module/ExperienceForwardToModel.pkl

Execution Steps:

• python3 source-module/LoadEvaluateModel.py
• Verify that you have 2 files generated in model-module folder

api-module

• Run the Model with the command as
• python3 api-module/iBrains-decisions.py

Run the Proxy: After you run the api-module of smartX-iBrains, you run the SmartXiProxySpringBootApplication.java through IntelliJ Or through the command "mvn clean install && java -jar target/smartx-iproxy-0.0.1-SNAPSHOT.jar" Hit the URL : http://localhost:9090/proxy/predict/data?message=7.0 You will receive the response as follows: { "experience": "7.0", "forwardTo": "1.728876089370753", "salary": "91288.29027299365" }