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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4498
Development of Chatbot Automation Application – DGCT CSE ALEXA
B. Arunkumar [1] , A. Barath Balaji[2], V. Giri Prasanth[3], S. Barath Kumar[4]
1 Assistant Professor, Department of Computer Science and Engineering, Dhirajlal Gandhi College of Technology,
Tamilnadu, India
2,3,4Final Year Student, Department of Computer Science and Engineering, Dhirajlal Gandhi College of Technology,
Tamilnadu, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The project is about interaction between users
and Chabot which can be accessed from anywhere anytime.
The technology at the core of the rise of the Chabot is natural
language processing (“NLP”). Most of the time, Students have
to visit universities or colleges to collect various information
like Tuition fees, Term Schedule, etc. during their admission
process or as per their daily needs. Chabot provides various
information related to university or college and also students-
related information. The System analyses the question and
then answers to the user. In this project, we provide the design
of a chatbot, which provides a genuine and accurate answer
for any query using Artificial Intelligence Markup Language
(AIML) with python platform.
Keywords: Artificial Intelligence Markup Language
(AIML), Pattern Matching, Chatbot, Flask Web-
Framework.
1. INTRODUCTION
A chatbot is also known as an artificial conversational
entity (ACE), chat robot, talk bot, chatterbot or chatterbox.
Chatbots today, havebecomea lotmoreadvancedsincethen,
able to answer substantially complex queries and have
expanded capabilities such as voice interactionandmachine
learning. Chat-bot for college management system project
will be developed using artificial intelligencealgorithmsthat
will analyze users’ queries. This system will be a web
application which will provide answers to the analyzed
queries of the user. Users will just have toselectthecategory
for queries and then ask the query to the bot that will be
used for answering it. Users won't have to go personally to
the college for inquiry. College-related activities such as
annual day, sports day, Intake and other cultural activities.It
will help the students/user to be updated about the college
activities. Artificial Intelligence Markup Language (AIML)
and Latent Semantic Analysis (LSA) are used for developing
chatbots, which are used to define general pattern-based
queries. Natural Language Processing is to understand the
user’s language and are intelligent enough to learn from
conversations with their users.
2. Literature Survey
ChatbotUsingAKnowledgeinDatabase-Human-to-
Machine Conversation Modeling
Author: Bayu Setiaji, Ferry Wahyu Wibowo
In this research Chat-bots are mainly to used to provide
conversation between both human and machine. Admin
feeds some knowledge to the machine so that machine can
identify the sentences and taking a decision itself as a
response to answer a question. The chat used is actually
Indonesian conversational pattern and the database used in
this project is MySQL.[1]
Designing a Chat-bot that Simulates a Historical
Figure
Author: Emanuela Haller
This paper presents a method for building a chat-bot that
can simulate a historical figure. The can receive as "input" a
plain text or a web page about the historical figure and has
as "output" a trained conversational agent which is able to
answer all kind of questions about the life experience of that
specific person.[2]
Chatbots: Are They Really Useful?
Author: Bayan Abu Shawar, Eric Atwell
The paper is basically focused on an academic paper
highlighting some case studies and including a brief history
of chatbots that extends back to the earliest experiments
such as ELIZA (c. 1966). The paper is based on making a
chatbot using AIML patterns with ALICE.[3]
An e-business chatbot using AIML and LSA
Author: N. Thomas
In this paper, Thomas T provided the way by which the
chatbot is planned in a manner that for a single template, it
gives irregular responses. LSA based inquiries are givingthe
right reactions to random responses.[4]
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4499
3. PROPOSED SYSTEM
This system helps the student to be updated about the
college activities. Question and answer are stored in the
database so that whenever such questions will be asked so
that they get answered directlyfromthedatabase.Invarious
websites, users are not able to find the required information
on website which in turn end up closing the websites, which
can be fulfilled by using chatbot.
Once the bot-user types in the query in thechatbot,theAIML
developed chatbot will identify the category that contains
the query pattern. Here the bot-user is expected to type in
the query in a predefined pattern. Once the query pattern is
matched, the template of the category that contains the
response is sent back to the bot-user.
4. ARTIFICIAL INTELLIGENCE MARKUPLANGUAGE
AIML files are a subset of Extensible Mark-up Language
(XML) that can store different text patterns in the form of
tags. AIML is mainly used to implement Chatbots, a natural
language software agent in which a usercanask questionsto
the robot and it can give an intelligent reply. This same
technique is used in Chat Bot. Using speech recognition, the
robot gets input text from the user and an AIML interpreter;
a software program that can interpret AIML files and
retrieve an intelligent replyfromtheAIML dataset.Thereply
will be converted to speech. It has a class of data object
called an AIML object that describes the behavior of
computer programs. It consists of units or tag called topics
and categories. In AIML, categories are basic units of
knowledge. There each category consists of a pattern that
contains input and template which contain the answer of
chatbot based on queries. To build a Chatbot, mainly a
flexible, easy to understand and universal language is
needed which will be AIML. AIML, a derivative of XML,isone
of the widely used approaches that satisfy the requirements
based on general queries. AIML represents the knowledge
put into Chatbots and is based on the software technology
developed for A.L.I.C.E. (the Artificial Linguistic Internet
Computer Entity). It has the ability to characterize the type
of data object and describe partial conductance of the
programs that it processes. These objects consist of two
units: topics and categories. Thus, the data contained in
these categories are either parsed or unparsed.
The main purpose of the AIML language is to simplifythejob
of conversational modeling,ina “stimulus-response” process
is shown in Fig4.1. It is also a mark-up language based on
XML and depends on tags whicharetheidentifiersthatmake
snippets of codes to send commands into the Chatbot. The
data object class is defined in AIML as an AIML object, and
the responsibilityoftheseobjectsis modelingconversational
patterns.
Fig 4. 1 AIML
The data object class is defined in AIML as an AIML object,
and the responsibility of these objects is modeling
conversational patterns. Each AIML object is the language
tag that associates with a language commandusingpatterns.
The general structure of AIML objects is put forward by List
of parameters the most important object among the AIML
objects is category, pattern, and template. The task of the
category tag is defining the various patterns and their
answer based templates. The pattern tag identifies theinput
from the user and the task of template tag is to respond to
the specific user input, these are the most frequent tags and
the bases to design AIML Chatbots with an intelligent
response to natural language speech conversations.
5. SYSTEM DESIGN
Fig 5. 1 System Architecture
A chatbot is a computer program, which is designed to
simulate a conversation with human users using patterns,
especially over the internet. They are our online assistants
that offer different services through chatting over the
internet is shown in Fig 5.1 . To build artificial intelligence
chatbots through Python, you will require an AIML package
(Artificial Intelligence Markup Language). First, we need to
create a standard startup file without any pattern and load
aiml b in the kernel. Add random response patterns that
would make dialogue interesting.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4500
Fig 5. 2 System Flow
Now, to code your own AIML files, look for some files which
are available beforehand. For example, browse all among
files from the Alice Bot website. The startup file we will be
creating will act as a separate entity. As a result of which, we
will have more AIML files without a source code
modification is shown in Fig 5.2. The program will start
running when there are enough AIML files for loading. This
was an introduction to how to makeAIchatbotusingPython.
Now, let’s proceed further and see which particular library
can be implemented for building an AI Chatbot.
6. Implementation
.
Fig 6. 1 HTML
HTML is used to create electronic documents (called pages)
that are displayed on the World Wide Web. Each page
contains a series of connections to other pages called
hyperlinks.
Fig 6. 2 PYTHON
Python is a general purpose and high level programming
language. You can use Python for developing desktop GUI
applications, websites and web applications.Also,Python, as
a high level programming language, allows you to focus on
core functionality of the application by taking care of
common programming tasks.
Fig 6. 3 OUTPUT
Thus, the “DevelopmentofChatbotAutomationApplication–
DGCT CSE ALEXA” was successfully executed
7. Conclusion
Chatbots are being made to ease the pain that the industries
are facing today. The purpose of chat bots is to support and
scale business teams in their relations with customers.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4501
8. REFERENCES
[1] Bayu Setiaji, Ferry Wahyu Wibowo, Department of
Informatics Engineering STMIK AMIKOM
Yogyakarta, Yogyakarta, Indonesia, 2166-0670/16
$31.00 © 2016 IEEE "ChatbotUsingAKnowledgein
Database-Human-to-Machine Conversation
Modeling".
[2] Emanuela Haller, Traian Rebedea Faculty of
Automatic Control and Computers university
Politehnica of Bucharest, 978-0-7695-4980-4/13
$26.00 © 2013 IEEE. "Designing a Chat-bot that
Simulates a Historical Figure".
[3] Bayan Abu Shawar and Eric Atwell, 2007“Chatbots:
Are they Really Useful?”
[4] N. Thomas, “An e-business chatbot using aiml and
lsa,” in Advances in Computing, Communications
and Informatics (ICACCI), 2016 International
Conference on. IEEE, 2016, pp. 2740–2742.

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Chatbot provides college info

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4498 Development of Chatbot Automation Application – DGCT CSE ALEXA B. Arunkumar [1] , A. Barath Balaji[2], V. Giri Prasanth[3], S. Barath Kumar[4] 1 Assistant Professor, Department of Computer Science and Engineering, Dhirajlal Gandhi College of Technology, Tamilnadu, India 2,3,4Final Year Student, Department of Computer Science and Engineering, Dhirajlal Gandhi College of Technology, Tamilnadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The project is about interaction between users and Chabot which can be accessed from anywhere anytime. The technology at the core of the rise of the Chabot is natural language processing (“NLP”). Most of the time, Students have to visit universities or colleges to collect various information like Tuition fees, Term Schedule, etc. during their admission process or as per their daily needs. Chabot provides various information related to university or college and also students- related information. The System analyses the question and then answers to the user. In this project, we provide the design of a chatbot, which provides a genuine and accurate answer for any query using Artificial Intelligence Markup Language (AIML) with python platform. Keywords: Artificial Intelligence Markup Language (AIML), Pattern Matching, Chatbot, Flask Web- Framework. 1. INTRODUCTION A chatbot is also known as an artificial conversational entity (ACE), chat robot, talk bot, chatterbot or chatterbox. Chatbots today, havebecomea lotmoreadvancedsincethen, able to answer substantially complex queries and have expanded capabilities such as voice interactionandmachine learning. Chat-bot for college management system project will be developed using artificial intelligencealgorithmsthat will analyze users’ queries. This system will be a web application which will provide answers to the analyzed queries of the user. Users will just have toselectthecategory for queries and then ask the query to the bot that will be used for answering it. Users won't have to go personally to the college for inquiry. College-related activities such as annual day, sports day, Intake and other cultural activities.It will help the students/user to be updated about the college activities. Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA) are used for developing chatbots, which are used to define general pattern-based queries. Natural Language Processing is to understand the user’s language and are intelligent enough to learn from conversations with their users. 2. Literature Survey ChatbotUsingAKnowledgeinDatabase-Human-to- Machine Conversation Modeling Author: Bayu Setiaji, Ferry Wahyu Wibowo In this research Chat-bots are mainly to used to provide conversation between both human and machine. Admin feeds some knowledge to the machine so that machine can identify the sentences and taking a decision itself as a response to answer a question. The chat used is actually Indonesian conversational pattern and the database used in this project is MySQL.[1] Designing a Chat-bot that Simulates a Historical Figure Author: Emanuela Haller This paper presents a method for building a chat-bot that can simulate a historical figure. The can receive as "input" a plain text or a web page about the historical figure and has as "output" a trained conversational agent which is able to answer all kind of questions about the life experience of that specific person.[2] Chatbots: Are They Really Useful? Author: Bayan Abu Shawar, Eric Atwell The paper is basically focused on an academic paper highlighting some case studies and including a brief history of chatbots that extends back to the earliest experiments such as ELIZA (c. 1966). The paper is based on making a chatbot using AIML patterns with ALICE.[3] An e-business chatbot using AIML and LSA Author: N. Thomas In this paper, Thomas T provided the way by which the chatbot is planned in a manner that for a single template, it gives irregular responses. LSA based inquiries are givingthe right reactions to random responses.[4]
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4499 3. PROPOSED SYSTEM This system helps the student to be updated about the college activities. Question and answer are stored in the database so that whenever such questions will be asked so that they get answered directlyfromthedatabase.Invarious websites, users are not able to find the required information on website which in turn end up closing the websites, which can be fulfilled by using chatbot. Once the bot-user types in the query in thechatbot,theAIML developed chatbot will identify the category that contains the query pattern. Here the bot-user is expected to type in the query in a predefined pattern. Once the query pattern is matched, the template of the category that contains the response is sent back to the bot-user. 4. ARTIFICIAL INTELLIGENCE MARKUPLANGUAGE AIML files are a subset of Extensible Mark-up Language (XML) that can store different text patterns in the form of tags. AIML is mainly used to implement Chatbots, a natural language software agent in which a usercanask questionsto the robot and it can give an intelligent reply. This same technique is used in Chat Bot. Using speech recognition, the robot gets input text from the user and an AIML interpreter; a software program that can interpret AIML files and retrieve an intelligent replyfromtheAIML dataset.Thereply will be converted to speech. It has a class of data object called an AIML object that describes the behavior of computer programs. It consists of units or tag called topics and categories. In AIML, categories are basic units of knowledge. There each category consists of a pattern that contains input and template which contain the answer of chatbot based on queries. To build a Chatbot, mainly a flexible, easy to understand and universal language is needed which will be AIML. AIML, a derivative of XML,isone of the widely used approaches that satisfy the requirements based on general queries. AIML represents the knowledge put into Chatbots and is based on the software technology developed for A.L.I.C.E. (the Artificial Linguistic Internet Computer Entity). It has the ability to characterize the type of data object and describe partial conductance of the programs that it processes. These objects consist of two units: topics and categories. Thus, the data contained in these categories are either parsed or unparsed. The main purpose of the AIML language is to simplifythejob of conversational modeling,ina “stimulus-response” process is shown in Fig4.1. It is also a mark-up language based on XML and depends on tags whicharetheidentifiersthatmake snippets of codes to send commands into the Chatbot. The data object class is defined in AIML as an AIML object, and the responsibilityoftheseobjectsis modelingconversational patterns. Fig 4. 1 AIML The data object class is defined in AIML as an AIML object, and the responsibility of these objects is modeling conversational patterns. Each AIML object is the language tag that associates with a language commandusingpatterns. The general structure of AIML objects is put forward by List of parameters the most important object among the AIML objects is category, pattern, and template. The task of the category tag is defining the various patterns and their answer based templates. The pattern tag identifies theinput from the user and the task of template tag is to respond to the specific user input, these are the most frequent tags and the bases to design AIML Chatbots with an intelligent response to natural language speech conversations. 5. SYSTEM DESIGN Fig 5. 1 System Architecture A chatbot is a computer program, which is designed to simulate a conversation with human users using patterns, especially over the internet. They are our online assistants that offer different services through chatting over the internet is shown in Fig 5.1 . To build artificial intelligence chatbots through Python, you will require an AIML package (Artificial Intelligence Markup Language). First, we need to create a standard startup file without any pattern and load aiml b in the kernel. Add random response patterns that would make dialogue interesting.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4500 Fig 5. 2 System Flow Now, to code your own AIML files, look for some files which are available beforehand. For example, browse all among files from the Alice Bot website. The startup file we will be creating will act as a separate entity. As a result of which, we will have more AIML files without a source code modification is shown in Fig 5.2. The program will start running when there are enough AIML files for loading. This was an introduction to how to makeAIchatbotusingPython. Now, let’s proceed further and see which particular library can be implemented for building an AI Chatbot. 6. Implementation . Fig 6. 1 HTML HTML is used to create electronic documents (called pages) that are displayed on the World Wide Web. Each page contains a series of connections to other pages called hyperlinks. Fig 6. 2 PYTHON Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications.Also,Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks. Fig 6. 3 OUTPUT Thus, the “DevelopmentofChatbotAutomationApplication– DGCT CSE ALEXA” was successfully executed 7. Conclusion Chatbots are being made to ease the pain that the industries are facing today. The purpose of chat bots is to support and scale business teams in their relations with customers.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4501 8. REFERENCES [1] Bayu Setiaji, Ferry Wahyu Wibowo, Department of Informatics Engineering STMIK AMIKOM Yogyakarta, Yogyakarta, Indonesia, 2166-0670/16 $31.00 © 2016 IEEE "ChatbotUsingAKnowledgein Database-Human-to-Machine Conversation Modeling". [2] Emanuela Haller, Traian Rebedea Faculty of Automatic Control and Computers university Politehnica of Bucharest, 978-0-7695-4980-4/13 $26.00 © 2013 IEEE. "Designing a Chat-bot that Simulates a Historical Figure". [3] Bayan Abu Shawar and Eric Atwell, 2007“Chatbots: Are they Really Useful?” [4] N. Thomas, “An e-business chatbot using aiml and lsa,” in Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on. IEEE, 2016, pp. 2740–2742.