SMART COLLEGE CHATBOT USING NATURAL LANGUAGE UNDERSTANDING

2016

This abstract includes the total quantum of the chatbot. A new approach to computer-to-mortal business is handed by conversational interfaces, or chatbots as they're generally known. In the history, exercising a quest machine or completing a form was demanded in order to have a software programme respond to a query, as programs were fully reckoned on syntax and semantics of the programming language and it was veritably delicate for the nonprogrammers to communicate with computers. With a chatbot, a customer may principally interrogate request the same way they would with a mortal. Voice chatbots like Alexa and Siri are right now the most well-known feathers of chatbots. On the other hand, chatbot handover rates on computer discourse platforms are presently truly strong. You may make a introductory chatbot by adding generally asked questions (FAQs) to chatbot software. major invention companies to prepare common shoptalk. Integrating the chatbot with the company's enterprise software can enhance its capabilities. The maturity of marketable chatbots calculate on platforms developed by the major technology companies to exercise natural language. Amazon Lex, IBM Watson, Face book Deep Text, Google Cloud Natural Language API, Slack, Skype, and Microsoft Cognitive Services are a numerous of these.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

A chatbot is software used to develop interaction between a user/human and a computer/system in natural language, similar to human chats. Chatbots converse with the customer in a discussion following input from a human and a response to the customer. It makes the user believe that he is chatting with a human while chatting with the computer. The chatbot application helps the student to get information about the college admission process and get quick answers from anywhere with an internet connection. This chatbot system reduces the workload of the admissions department by providing students or parents with the information they need and also reduces the workload of the department, which has to constantly answer all the students' questions.

2007

Chatbots are computer programs that interact with users using natural languages. This technology started in the 1960's; the aim was to see if chatbot systems could fool users that they were real humans. However, chatbot systems are not only built to mimic human conversation, and entertain users. In this paper, we investigate other applications where chatbots could be useful such as education, information retrival, business, and e-commerce. A range of chatbots with useful applications, including several based on the ALICE/AIML architecture, are presented in this paper.

Machine Learning with Applications, 2020

This literature review presents the History, Technology, and Applications of Natural Dialog Systems or simply chatbots. It aims to organize critical information that is a necessary background for further research activity in the field of chatbots. More specifically, while giving the historical evolution, from the generative idea to the present day, we point out possible weaknesses of each stage. After we present a complete categorization system, we analyze the two essential implementation technologies, namely, the pattern matching approach and machine learning. Moreover, we compose a general architectural design that gathers critical details, and we highlight crucial issues to take into account before system design. Furthermore, we present chatbots applications and industrial use cases while we point out the risks of using chatbots and suggest ways to mitigate them. Finally, we conclude by stating our view regarding the direction of technology so that chatbots will become really smart.

University News, 2022

The National Education Policy, 2020 emphasizes on the need to generate awareness as well as conduct research on various aspects of the emerging disruptive technologies. Chatbots are one of the disruptive technologies which are finding its way into education. Chatbots are the software programmes which can take the form of text/voice; facial mode or robots and can act like a helping hand to the teacher. Chatbots with and without educational intentions are being used in education for various purposes. With educational intention, chatbots developed on the basis of socio-constructivist approaches of learning can be used for various purposes like providing interactive quizzes, acting like virtual tutors, programmes for exercise and practice, assessment, answering questions, delivering videos of past lectures. Chatbots developed on the basis of behaviorist and cognitivist approaches of learning are used to perform various activities which do not have educational intentions like answering the FAQs related to course, handling many repetitive questions raised by students regarding project guidelines, deliverables, deadlines, grades, etc. Chatbots in education is less explored area and acceptance of chatbots by education stakeholders and its integration and effectiveness in education need to be explored further.

Research Square (Research Square), 2024

AI chatbots trained on large language models are an example of Generative AI which brings promises and threats to the higher education sector. In this study, we examine the emerging research area of AI chatbots in higher education (HE), focusing speci cally on empirical studies conducted since the release of ChatGPT. Our state-of-the-art review included 23 research articles published between December 2022 and December 2023 exploring the use of AI chatbots in HE settings. We take a three-pronged approach to the empirical data. We rst, examine the state of the emerging eld of AI chatbots in HE. Second, we identify the theories of learning used in the empirical studies on AI chatbots in HE. Third, we scrutinize the discourses of AI in HE framing the latest empirical work on AI chatbots. Our ndings contribute to a better understanding of the eclectic state of the nascent research area of AI chatbots in HE, the lack of common conceptual groundings about human learning and the presence of both dystopian and utopian discourses about the future role of AI chatbots in HE.

EPRA International Journal of Multidisciplinary Research (IJMR), 2022

The shift in technological advancements to Artificial Intelligence guided systems is ushering in a batch of new opportunities and challenges for various industries. The educational domain is especially affected by the use of chatbots to enhance learners' interaction capabilities and aid faculty roles by automating mundane tasks. The development of chatbots uses different approaches depending on the educational purposes that they are meant to accomplish. For example, some chatbots are developed using the social constructivist approach and have the ability to act as interactive tutors offering quizzes, assessments, and access to previous lectures. The disruptive technology of chatbots is affecting educational domains in various ways that need to be considered by institutions and practitioners in the field.

IntechOpen eBooks, 2023

Business communication today is driven by the organizational financial performance and customer best quality service provision. The rise of 24/7 ubiquitous access to Internet and Applied Artificial Intelligence (AAI) creates a platform for future fully-automated cyberspace. Role of Computing has become an essential part of research, innovation and development of future cutting-edge technologies that will transform the way we live to a next level, where Machine-to-Machine Communication will drive Human-to-Human Communication. Today we see the technology that has brought the Computational Machines much closer to us people, and LEXA is becoming an integrated part home companionship and the entertainment for many young families who are tech-savvy and love to play with the high-tech. Naturally, there are many dimensions to technological innovation and application of AI that are fascinating and inspire scholars and industry developers to push the edge of advancement of next generation technologies that will promote a Cyber Automation and Ultra Smart Living for everyone. The Machine learning (ML) as a subdomain of artificial intelligence enables smart computational device to abstract patterns from data without explicit programming. In addition to AI and ML, we see the rise of Humanoid Robotics that has potential to act like, look like, talk like and reason like human, and eventually becoming an essential part of an organizational business infrastructure worldwide [1]. Some experts compare level of intelligence of new Humanoid Robot called Sophia to that of a one month old new born baby that is at the very beginning of discovering the world around and is beginning to observe and to learn to communicate with his or her parents. Yet, very young and tiny, babies have a Natural Intelligence and Human Reasoning that may be compared to a computational capacity of most performant Supercomputer in the world today. Many experts suggest that there are fundamental differences between the AI and Natural Intelligence (NI) and that future evolution of AI driven Software Agents and Humanoid Robotics may have strong impact on the future Industry 5.0 and 6.0, Business to Business (B2B) and Mobile Commerce (mC). Given recent COVID relates crisis, applications of AI in business, industry, government, academia and other sectors have become ubiquitous showing more and more examples of Smart Software Agents application. The next section, presents examples of the AI driven applications including chatbots and ChatGPT, and discus what, how and where they are.

2020

In this research paper, "Chatbot for Student Admission Enquiry" we describe about the software/tools used in it. We are using Rasa NLP, we have used dialogflow to make interaction with chatbot and also the NLP toolkit. This chatbot was developed using Machine Learning Algorithms. Chatbots are prepared to change UI design. Chatbots are programs that duplicate human conversation using Artificial Intelligence (AI). It is proposed to be an authoritative modest assistant, delight reason, helping one to complete tasks running from tending to questions, getting driving heading, turning up the indoor controller in sharp home, to playing one's favored tunes etc. Chatbots are exhibited on various techniques, for instance, data base, AI based. Artificial intelligence based chatbots yields progressively reasonable results. Chatbot which gives responses reliant on the setting of conversation will when all is said in done be all the more simple to utilize. One of the noteworthy goals in the field of Human Computer Interaction (HCI) is the diagram of common and instinctive affiliation modalities. In any case, chatbots are at present being grasped at a high rate on PC talk stages. The advancement at the focal point of the climb of the discussion bot is ordinary language processing. Most business chatbots are dependent on stages made by the development mammoths for their standard language dealing with. These fuse Amazon Lex, Microsoft Cognitive Services, Google Cloud Natural Language API, Facebook DeepText, and IBM Watson. Stages where chatbots are passed on join Facebook Messenger, Skype, and Slack, among various others.