AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Building Chatbots with React, Amazon Lex, AWS Lambda, & AWS Amplify
Tools supporting continuous integration and deployment for NLU services.
This repo contains a sample application to show how to build a voice interface for patient outcome reporting (PRO) by leveraging NLP capabilities provided by Amazon Lex and its integration with AWS's cloud contact center offering, Amazon Connect.
A Node.js utility for building valid SSML for Amazon Web Services Polly & Lex Services
This project deploys an AWS Lex V2 chatbot for analyzing IoT data stored in an S3 bucket. The infrastructure is defined using Terraform, and the project includes a Lambda function for chatbot fulfillment.
Interact with Amazon Lex using Python in an easy way
Automated Voice Calling Chatbot in AWS using Amazon Connect, Lex, Polly, and Lambda
A simple bot made using AWS Amazon Lex to recommend movies to its users.
This app is a serverless, micro service-driven web application created completely using AWS cloud services. The main application of this chatbot is to provide restaurant suggestions to its users based on the preferences provided to it through conversations.
A sample Chatbot written in Java using the lex-lambda-sdk
current implementing, codes will not update till summer for personal reasons
An SDK for writing Chatbots in Java using Amazon's Lex and Lambda services
Atlas Engine What if you could engage a new web lead not in hours, but in seconds? The Atlas Engine is a serverless, AI-powered B2B sales accelerator built on AWS. It's a high-impact, interactive demo that solves the "immediate contact" problem by turning a simple web chat into a real-time, AI-driven, outbound phone call.
You can get Jeopardy questions and answers from the Amazon Lex V2 bot. The bot is powered by the jService API.
Serverless Hands-free Allergy Checker for AWS AI Hackathon. Uses Amazon Rekognition, Polly, Lex and Cognito.
This creates an AWS Chatbot to give users their investment portfolio based on their risk tolerance level i.e. conservative, moderate, or aggressive. With the use of machine learning, the tool will be created to different portfolios based off that.
Code Base for Basic AWS Lex based chatbot with AWS Lambda python Codebase.
Amazon Lex Chatbotを用いたクイズボットサンプル
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