The Design and Implementation of Chatbot for Student Information and Requests

The Design and Implementation of Chatbot for Student Information and Requests

CHAPTER ONE

OBJECTIVES

The objectives of this project are:

To analyze users queries and understand users message.
To provide an answer to the query of the user efficiently and effectively.
To develop a system which replies using a responsive GUI similar to a real person talking to the user.

CHAPTER TWO

LITERATURE REVIEW

INTRODUCTION

This literature review was carried out mainly to implement chatbot for student information system, how it is designed and implemented in different platforms and its efficiency and effectiveness in use. And to formulate a different approach which will proffer solution to the implementation of chatbots for educational purposes.

A chatbot is a computer software application which simulate a conversation with a user either via speech or voice through messaging applications, websites, mobile apps or telephone. It interacts with the user like normal human-to-human chat. It cannot handle complex human interactions as it is preprogrammed with certain keywords, so it is limited when not fed with the right keywords. With the incorporation of Artificial Intelligence (AI) and Natural Language Processing (NLP) the chatbot is able to handle complex cases of human conversation. This is especially useful in schools to seek information about the school and for teaching purposes.

RELATED WORKS

Some of the existing systems related to this project are reviewed below:

Research developed a chatbot using machine learning model at the back end for processing and training purposes, and NLP (Natural Language Processing & NLU (Natural Language Understanding) for taking and understanding the input. Google Dialog flow was used to achieve this. The limitation of this work is that it was deployed as an android application and it is not available to other OS platforms. Research uses HTML, CSS and PHP to build a web based Chatbot that store new queries in the database. The scope of this work does not include machine learning processing as only the admin provides guidance. In Research a web based chatbot is developed for college for student query using AIML (Artificial Intelligence Modelling

Language). AIML cannot handle all of its backend processing so some other algorithm has not to employed thereby increasing the overall response time. Research proposes an extension to the model of a chatbot called knowie which was developed using Ubuntu Linux, Python, JDK, PyAIML, and MakeAiml. This requires that the students are present in the laboratory to make use of the chatbot. In Research, a chatbot was developed for the windows platform using Java programming language. The limitation of this is that it does not have a database and can only respond to queries that has responses already. No improvement can be made to this chatbot and can only operate on the Windows operating and system. Research proposes a model that has two main phases; knowledge abstraction and response generation and it uses Dialog flow to implement the project. This work is a theoretical solution and the result may prove insufficiently informative to be depended upon. Research develops a Pharmabot using visual C# as its frontend and MS Access as its backend. This work cannot be used over the web as it is designed to be installed on a standalone computer and it does not incorporate artificial intelligence into its processing. Research develops a chatbot with four levels in its architecture; the front office, back office, knowledge base module and e-learning bot module. It’s an easy to use chatbot but gives suggestions not helpful to students and in some cases, a wrong suggestion. Research developed a chatbot prototype to determine the memory retention of students who source answers from chatbot and Google search engine. It was observed that the students had a better memory retention of answers from the chatbot. Research builds a chatbot using Dialog flow and Natural Language Processing (NLP). This research can be deployed to any operating system. Research developed a chatbot that can be accessed via Facebook messenger. This chatbot does not offer backend access to admin to edit unanswered queries and it cannot be updated. Research discusses the issues of chatbot development which are NLP and Machine Learning. Research develop a chatbot using Google owned Dialog flow. This chatbot handles placement activities in professional colleges and reduces physical visit to the institute. Research tested and evaluated a prototype chatbot in a small university setting which was strong in conversational patterns due to NLP but was lost when facing usual conversational pattern. Researc chatbot was developed using AIML for University related Frequently Asked Questions (FAQs). This chatbot does not provide satisfactory answer when a data is missing from the user query.

CHAPTER THREE

DESIGN AND IMPLEMENTATION

INTRODUCTION

This chapter details the chosen methodology used in the project, and the approach chosen for the selected methodology. The design tools, techniques and platforms used in the implementation of the project. The ethical considerations of this project are also observed in this chapter. The requirement analysis and specification of the project are also clearly stated in this chapter.

INTRODUCTION

This chapter talks about the results obtained from the system design and development. This includes software development, testing and evaluating the system performance.

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