Development of Chatbot Using AI\ML Technologies

Chatbots are AI tools that use pre-programmed responses to answer queries without human operators. By 2022, chatbots are expected to cut business costs by $8 billion and 61% of marketers believe AI is the most important tool for data strategy. Chatbots benefit businesses by automating processes, offering straightforward services, helping build brand image, providing better customer support, and facilitating relationship building. When creating chatbots, personas help understand user behavior while frequent breaks in text and A/B testing improve the user experience. Brands like Lyft and Pizza Hut use chatbots on Facebook and Twitter for ordering and customer service. Chatbot usage increased during the COVID-19 pandemic and will continue growing for healthcare applications.

My talk at Push Conference 2017, where I explained the benefits and opportunities of conversational interfaces for users and businesses – and how we as creators can make sure they're created in a way that makes sense for humans.

Voice user interface has gained popularity in the recent years. A chatbot is a machine with the ability to answer automatically through a conversational interface. Instead of using mouse and keyboards as input and screen as output, a chatbot with extra voice user interface feature improve the system and enhance the user experience. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence (AI) devices transform humancomputer bidirectional interactions that allow users to navigate an interactive voice response (IVR) system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers’ and guests’ perspectives. A hotel web application with voice user interface was implemented which provides voice input/output interface to enhance the user experience. Speech recognition component was used to dictate the user voice input to text. Speech synthesis API was used for text to voice conversion. A closed domain question answering (cdQA) Natural Language Processing (NLP) solution was used for processingof query and return the best answer possible.

This document describes a voice assistant chatbot that was implemented for the hospitality industry. It uses speech recognition to convert voice input to text, then processes the text using natural language processing to determine the best response. A closed domain question answering approach is used. The system was trained on data related to hotel websites to enable it to answer questions about hospitality domains. The document provides details on the system components and technologies used, such as deep speech for speech recognition and various text-to-speech APIs for generating voice responses.

Agile Network India-Mumbai Title:Cross-Development of AI/ML based chatbots by Fahed Ali Shaikh Date:April 2023 Hosted by:Datamatics

This document discusses algorithms used in chatbots. It provides background on early chatbots like ELIZA and ALICE that used pattern matching. It then discusses several algorithms commonly used in modern chatbots: sequence-to-sequence models, pattern matching, LSTM, HEIM, naive Bayes, and natural language processing. The document aims to introduce these design techniques to provide an overview of how chatbots have advanced from early rule-based systems to more intelligent designs using machine learning.

What exactly is ChatGPT? ChatGPT is an open-source ChatGPT framework that allows developers to build their own ChatGPT using pre-built modules. The framework is built using NodeJS, AngularJS, ExpressJS, MongoDB, Redis, and Docker.

.UiPath Chatbots bring together RPA and conversational AI to modernize your enterprise operations and delight your customers. The AI-powered RPA platform and the Druid no-code chatbot authoring platform allow businesses to fulfill the customer requests end-to-end making it suitable for all industries and roles. We’ve made it so easy to automate conversational processes, it just might leave you speechless​

This document describes the development of an intelligent career counseling chatbot. The chatbot uses natural language processing and artificial intelligence algorithms to analyze users' career-related questions and respond with relevant answers from its knowledge base. It allows users to ask open-ended career questions without a specific format. The chatbot's responses aim to simulate a conversation with a real career counselor. It helps users choose careers that match their interests and capabilities. The chatbot's processing involves matching user inputs to patterns in its knowledge base to determine an appropriate response. It has the potential to help many users receive career advice without requiring an in-person counselor.