INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056 VOLUME: 08 ISSUE: 05 | MAY 2021 WWW.IRJET.NET P-ISSN: 2395-0072 © 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1268 TASHA - A Digital Human Chatbot Tejas Upadhyay 1 Shaily Verma 2 Aishwarya Tawade 3 Prof. Jigar Chauhan 4 Information Technology Information Technology Information Technology Assistant Professor (IT) Universal College of Engineering Universal College of Engineering Universal College of Engineering Universal College of Engineering Maharashtra, India Maharashtra, India Maharashtra, India Maharashtra, India -------------------------------------------------------------------------------------***-------------------------------------------------------------------------------------- Abstract - This paper gives a detailed analysis of chatbots and applications providing digital human chat- bot. Communicating with humans through live chat interfaces has become an increasingly popular means to provide real-time user interaction in many e-commerce applications. Today, In this paper, we present a new way of communicating with humans utilizing the natural language often based on Artificial intelligence (AI). Though cost- and time-saving opportunities triggered a widespread implementation of AI-based chatbots, they still frequently fail to meet customer expectations, potentially resulting in users being less inclined to comply with requests made by the chatbot. But With the help of Digital Human Chatbot, the interaction with the user would be much better than the normal chatbot, this provides the more natural ways of communicating with the chatbot as like the user is directly talking with humans. Keywords: Chatbot, Digital Human bot, Speech-to- text conversion, Artificial Intelligence Text-to- Speech. 1. INTRODUCTION Human Machine conversation is still a relatively developing area of artificial intelligence, even since the invention of chat-bot. Chat-bot was presented as a computer program that could perform natural language communication with a human. Since then, artificial intelligent conversational systems, called chat robots or chatbots have been used for a range of applications and topic areas including customer service, entertainment, religion, and intelligent tutoring. Education is an important area in which chat- bots have and can make significant contributions to learning. Following this notion, TASHA is proposed as an intelligent chatbot that can hold conversations with people for the purpose of effective, natural language learning. Unlike the other types of chatbot, this is a prototype with limited interaction capabilities and knowledge areas, TASHA is presented as a very capable, interaction, and engaging chatbot. A key aspect of TASHA is that this is a digital human chat-bot, with speech-to-text capabilities to interact with people easily. 2. PROBLEM STATEMENT 1.Discovering bots is still an issue for potential users. The discovery of chatbots on many messaging platforms is still very limited at the moment. Without massive marketing efforts, it is very difficult for bot developers to get in front of massive audiences on messaging platforms, which can be quite frustrating for developers. 2.No established business models. chatbot developers have no way to make money from their chatbots, unless they develop these bots for a third party. That is not to say that one of the major platforms will not deploy a compelling monetization method in the coming years. This will be similar to how users currently have to pay a small fee for premium apps on the app store. Chatbots may not provide direct value to developers, but may be useful for large companies who hope to engage with more users and hence get more sales. 3. Most chatbots aren’t that great at having normal conversations. The relatively low barrier to entry for chatbot makers, means a lot of chatbots have been published since messenger had announced that it was allowing chatbots on its messenger platform. A lot of the chatbots on messenger are frustrating to use and not helpful at all. It is important to note, however, that chatbots on these messenger platforms are still relatively new, so as natural language processing technologies improve the ability for chatbots to hold longer deeper and more meaningful interactions will also significantly improve with time.