Shipment Tracker

A sample Shipment Tracking application demonstrating the usage of Generative AI in Java based applications.

It consist of 3 modules

• shipment-tracker-ui
• shipment-tracker-app
• shipment-status-app

shipment-tracker-ui

A basic react SPA with a chatbox window. This application provides interfaces for users to ask queries regarding their shipment.

How to run?

This will require node installed on your machine

npm start

shipment-tracker-app

A spring boot REST api, which exposes a single endpoint which is called from the UI application. This application will take the user queries and will call the LLM. This will also interact with external Shipment Status API.

How to run?

This will require a docker runtime on your machine.

1. go to project root directory on the command line and run the following command

   docker build -t shipment-tracker-app .
   

2. Run the folowing command.

   docker run -p 8080:8080 shipment-tracker-app
   

shipment-status-app

A spring boot REST api, which exposes a single endpoint. This api will act as a external api which will provides dummy shipment information. This api will be used by chatbot in the function calling use-case.

How to run?

This will require a docker runtime on your machine.

1. go to project root directory on the command line and run the following command

   docker build -t shipment-status-app .
   

2. Run the folowing command.

   docker run -p 8081:8081 shipment-status-app