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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.
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.
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.
The project deals with solving the global pandemic using Cloud-based services. The facility will be provided to the patient at the comfort of their home. The idea is to provide appointment booking, DNA sample collection, and a report delivery mechanism to the end-user.
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.