Lex Chatbot with Spring Boot and AWS Services

This project is a simple Lex Chatbot implemented using Spring Boot and integrated with AWS Comprehend and AWS Translator services. It allows users to place orders through a chat interface.

Table of Contents

• Prerequisites
• Getting Started
• Configuration
• Usage
• Deployment

Prerequisites

Before you begin, ensure you have met the following requirements:

• Java Development Kit (JDK) 8 or later
• Maven for building the project
• AWS account with IAM credentials set up
• AWS Comprehend and AWS Translator services configured
• AWS Lex Bot created and configured

Getting Started

1. Clone the repository:

git clone https://github.com/yourusername/lex-chatbot-spring-boot.git
cd lex-chatbot-spring-boot

2. Build the project using Maven:

mvn clean install

3. Run the application:

   java -jar target/springchabot-0.0.1-SNAPSHOT.jar

Configuration

Before running the application, you need to configure AWS credentials and the Lex Bot details. You can do this by modifying the application.properties file:

# AWS credentials
aws.accessKeyId=YOUR_AWS_ACCESS_KEY
aws.secretKey=YOUR_AWS_SECRET_KEY

# AWS region
aws.region=us-east-1

# AWS Lex Bot configuration
lex.botName=YourLexBotName
lex.alias=YourBotAlias

Replace YOUR_AWS_ACCESS_KEY, YOUR_AWS_SECRET_KEY, YourLexBotName, and YourBotAlias with your AWS credentials and Lex Bot information.

Usage

• Open a web browser and navigate to http://localhost:8080 to access the Lex Chatbot interface.

• Start a conversation with the chatbot by typing messages.

• The chatbot will use AWS Comprehend to analyze user input and AWS Translator to handle multilingual support.

• The chatbot can assist users in placing orders based on their messages.

Deployment

You can deploy this Spring Boot application to a cloud platform of your choice, such as AWS Elastic Beanstalk or AWS Lambda, for production use. Make sure to update the AWS credentials and configuration accordingly in your deployment environment