An Interactive Chatbot for College Enquiry

Hassan, Walaa; Elsayed, A.

doi:10.21608/jocc.2023.282081

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Chatbots have the power to aid many different sorts of companies by delivering rapid access to essential information. [2] This essay looks at Artificial intelligence and natural language processing (NLP) integrated chatbots are becoming more and more widespread for conversational and informative applications. The purpose of this project is to construct a chatbot for a college website that will help users by offering responses to their inquiries in natural language.…”

Section: Literarure Reviewmentioning

confidence: 99%

Campus Companion : Creating a Supportive Chat – Assistant for Students

Bodapati

2024

IJSREM

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This article explores the creation and usage of chatbots, or intelligent conversational agents, for online communication. Python and other machine learning methods are employed in the chatbot's design. To be more explicit, TensorFlow/Keras is used for natural language processing, MySQL is utilized for database administration, and Flask is used for web hosting. The initiative attempts to accomplish its goals by enhancing the user experience and fostering more effective communication on the website. Using massive datasets, the chatbot will be educated to comprehend users' objectives and offer replies that fit with them. Natural language processing technologies, including voice recognition, natural language interpretation, and natural language production, will be used to foster natural discussions. A number of machine learning approaches, such as transformers, attention processes, and recurrent neural networks, will be investigated in order to classify intent and deliver replies. The objective is to construct a powerful and versatile chatbot that can grasp arguments in their context, preserve the debate's status, and answer in a manner that sounds human. Assessment criteria such as accuracy, recall, and precision will be utilized to develop and adapt the chatbot. Numerous businesses, including education, entertainment, customer service, and other disciplines, may profit from the employment of this chatbot. The implementation of intelligent conversational interfaces on websites has the potential to greatly enhance user experience. Keywords— Chatbot, Flask, MySQL, TensorFlow, Keras, Website Interaction, Natural Language Processing (NLP), Conversational AI, Intent Classification, Response Generation, Machine Learning Models, Recurrent Neural Networks (RNNs), Transformer Models, Attention Mechanisms, User Experience (UX), Contextual Conversations, Dialogue State Management, Human-like Responses, Customer Service Automation, Educational Chatbot, Entertainment Applications.

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Section: Literarure Reviewmentioning

confidence: 99%

Campus Companion : Creating a Supportive Chat – Assistant for Students

Bodapati

2024

IJSREM

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“…The data was anonymised and sampled for distribution to registered scholars worldwide. The Xatkit framework, developed by G. Daniel, J. Cabot, L. Deruelle, and M. Derras [4], tackles those issues by offering a set of Domain Specific Languages (DSL) for defining chatbots (and other types of bots such as voicebots and bots in general) in a platformindependent manner. Xatkit also includes a runtime engine that can seamlessly deploy the application and handle the required conversation logic across the platforms.…”

Section: E the Examination Of Chatbot Technologiesmentioning

confidence: 99%

College Enquiry Chatbot using Conversational AI

Patel,

Shetty,

Kapasi

et al. 2023

IJRASET

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Chatbots are computer programs that use text or voice-based interfaces to replicate human conversation. They are often used to automate mundane processes, provide customer support, or aid in the retrieval of information. Chatbots are built with a number of strategies that enable them to interpret and respond to user inputs in a more human-like manner. They can be employed in a variety of industries, including e-commerce, healthcare, and banking. We have analysed and compared numerous chatbot strategies in this report to establish the optimal way for our own chatbot project. We reviewed twenty-six papers on chatbot development and assessed the advantages and disadvantages of various strategies. Natural language processing techniques, such as tokenization and named entity recognition, have been shown in our research to be critical for interpreting user inputs. We also discovered that dialogue management methods, such as rule-based and machine learning-based approaches, have an important influence in influencing discussion flow. Furthermore, we discovered that natural language generation techniques, such as template-based and neural network-based methods, are critical in generating effective chatbot responses. We also investigated various services on the market in order to create a functional chatbot for our college. We also emphasized the various applications of chatbots as well as the current hurdles in the industry. Based on these findings, we chose a technique for our own chatbot project that employs advanced natural language processing and machine learning techniques to create more human-like conversations and improve overall user experience.

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Literature Survey on College Information Chatbot

Sri Varshini K,

Shilpa Shri R,

Anusha U A

2024

IJARSCT

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A chatbot is software that allows users to communicate with computers in natural language, similar to human conversations. Chatbots interact with clients and provide answers based on human input. The user may believe they are conversing with a human, while in reality, they are interacting with a machine. The chat bot program enables students to inquire about college admissions from any location with an internet connection and receive prompt responses. The chatbot technology streamlines the admissions process by delivering necessary information to students and parents, reducing the manpower effort in addressing inquiries.

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An Interactive Chatbot for College Enquiry

Cited by 3 publications

References 9 publications

Campus Companion : Creating a Supportive Chat – Assistant for Students

Campus Companion : Creating a Supportive Chat – Assistant for Students

College Enquiry Chatbot using Conversational AI

Literature Survey on College Information Chatbot

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