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.

A simple bot made using AWS Amazon Lex to recommend movies to its users.

Interact with Amazon Lex using Python in an easy way

Code Base for Basic AWS Lex based chatbot with AWS Lambda python Codebase.

Educational Chatbot Made with ReactJS, AWS Amplify and Amazon Lex

👾 Amazon Lex TTS - Chatbot integrated with Slack featuring Text to Speech convertion powered by Amazon Polly. Utilizes a serverless architecture for TTS conversion API.

Amazon Lex based robo advisor that could be used by customers or potential new customers to get investment portfolio recommendations for retirement

🧭 Reconnect People - Chatbot that uses Lex V2 as a conversational AI for managing the registration and tracking of missing persons and Rekognition for face comparison.

Tomazo is a full-stack MERN (MongoDB, Express, React, Node.js) application with an Amazon Lex-powered chatbot for easy table reservations. It streamlines the booking process, offering real-time availability and enhancing customer service.

Using Amazon Web Services skills with Python superpowers, to create a bot that will recommend an investment portfolio for a retirement plan.

A Amazon Lex bot that is able to obtain required info through conversation to create a recommended investment portfolio.

Build a chatbot using Amazon Lex and host website in serverless platform

Videos and Post about AWS

need to update current AWS Lambda functions to manage the interaction between the Gradio interface, Amazon Lex, and the Shopify API. Need to update the Lex conversation prompts to utilize e-commerce data from Shopify, creating context-aware interactions.

Dictionary Chatbot on Slack using Amazon LEX, Amazon Lambda , Oxford Dictionary api

This project implements a simple chatbot using AWS Lambda. The chatbot is designed to answer questions related to various AWS services,