In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.

1. Chatbot and Virtual AI Assistant
Implementation in Natural Language
Processing using AI
Presented by: -
Oswal Shrutika Suresh

2. Outline
Introduction
 Branches of Artificial Intelligence
 Natural Language Processing
Chatbot
Practical Implementation of chatbot
Virtual Assistant
Practical Implementation of virtual personal assistant
Conclusion
References

3. Introduction
• Artificial Intelligence: It is an area of computer science
that emphasizes the creation of intelligent machines that work
and react like humans.
• Natural Language Processing: It can be defined as the
ability of a machine to analyse, understand, and generate
human speech.

4. Applications of AI and NLP
• Chatbots: Today’s business world is more focusing on
chatbots. In 2020 chatbots will handle 85% of interaction in a
domain of providing a service to a customers.
• Virtual AI Assistant: Virtual Assistant is one kind of
application program that understands the voice commands
given in natural language and then processes these commands
and finally performs the task.

5. Various Domains of Artificial Intelligence
1) Machine Learning
2) Deep Learning
3) Natural Language Processing
4) Reinforcement Learning
5) Internet of Things
6) Robotics

6. Natural Language Processing
• Natural language processing (NLP) can be defined as the ability of a
machine to analyse, understand, and generate human speech.
• The goal of NLP is to make interactions between computers and
humans feel exactly like interactions between humans and humans.
• Components of NLP:
1) Natural Language Understanding (NLU)
2) Natural Language Generation (NLG)

7. A. Informative description and real facts
about chatbot
Define Today’s business world is more focusing on chatbots. In 2020
chatbots will handle 85% of interaction in a domain of providing a
service to a customer by chatbots only.
In many websites, we see the live chatbot who try to understand our
request in a more sophisticated way than ever these bots are called as
AI chatbot.
 Chatbot learns from the conversation and tries to handle each and
every situation at worst case also.

8. How chatbot knows user requirement??
The chatbot which able to understand the user need is called a smart
chatbot
An intelligent chatbot tries to understand the nuances in the natural
language spoken by the customer and try to provide a relevant and
convincing answer to the customer.
 There are various tools available in the market like IBM Watson,
Api.ai and many more that will incorporate natural language capability
into a chatbot.

9. How does Chatbot learn??

10. How to check the chatbot is intelligent??

11. Practical implementation of chatbot

15. Final output of chatbot

16. Informative Description of Virtual AI
Assistants
• virtual assistants are also called as AI assistants or digital assistants.
• Virtual Assistant is one kind of application program that understands
the voice commands given in natural language and then processes
these commands and finally performs the task.
• In the case of commercial use, a virtual assistant is an artificial
humanlike representative of a company.
• The best examples are Amazon Alexa, Apple’s Siri, Google Now and
Microsoft’s Cortana and many more.

17. Virtual Assistant Technologies:
• These are cloud based application program
• It require internet connection to work out
• It make use of Artificial Intelligence various domains like:
Natural Language Processing
Speech Recognition
Machine Learning
• It also require a large dataset for giving better responses

18. Virtual Assistant Usage in different Sectors
• Personal Virtual Assistant
• Home Automation Virtual Assistant
• Chatbot (Call centers)
• virtual nurse bots

20. Working of Virtual AI Assistant:
• Phase-1:Customer asks their question to a virtual assistant. It tries to understand
the user query and acknowledge it.
• Phase-2: If the virtual assistant knows the answer to the question it immediately
responds and if it doesn’t know the answer it will pass it to the next phase.
• Phase-3: In this phase, it searches out for internal, external repository and
knowledge for giving a better and relevant response.
• Phase-4: if the virtual assistant doesn’t find the relevant answer then it passes that
query to the live customer support representative.

21. Practical Implementation of Virtual Personal
Assistant for Laptop:
• List of tasks performed by my personal assistant “ROBO” on my laptop are as follows:
• 1) Give voice as well as text response to the user greetings
• 2) It will answer to the some predefined questions like
a) How are you?
b) Who created you?
c) What is your name?
d) What is your favourite colour?
• 3) It can open your Gmail account.
• 4) It can open any pdf file in new browser tab by voice commands.
• 5) It will able to show date and time in dd-mm-yyyy hh:mm format.
• 6) It can open google chrome by just voice command.
• 7) It can even play your favourite music in background.
• 8) It can open your web whats app just you need scan QR code and enjoy chatting.
• 9) It can open notepad or any txt file through voice commands.
• 10) It can also open any important power point presentation while you are working on some
other program.

22. Output of Virtual Personal Assistant
Tell me something:
You said:- hello
hey there
Tell me something:
You said:- who are you
I am ROBO your personal AI assistant
Tell me something:
You said:- how are you
I am fine
Tell me something:
You said:- who created you
shrutika_oswal.
Tell me something:
You said:- open browser
Tell me something:
You said:- open browser
Tell me something:
You said:- open YouTube
I have opened YouTube in another tab please check it out
Tell me something:
You said:- open web WhatsApp
I have opened Web Whats app in another tab please check it out
Tell me something:
You said:- what is your favourite colour
right now its rainbow
It keeps changing every micro second

23. Tell me something:
You said:- time
Current date and time :
The time is 17-03-19 22:46
Tell me something:
You said:- play music
Tell me something:
You said:- open Notepad
Tell me something:
Could not understand audio
Tell me something:
You said:- open presentation
I have opened your presentation of chatbot please check it out
Tell me something:
You said:- open resume
I have opened your resume please check it out
Tell me something:
You said:- open Gmail
I have opened Gmail in another tab please check it out
Tell me something:
You said:- thank you
youre welcome
Tell me something:
You said:- goodbye
Thank You bye have a great day!!!!!!!!
see you later

24. Conclusion
• In this paper, we had started with artificial intelligence and various
domains in which it is getting integrated.
• We have taken the versatile and most growing domain that is nothing
but the natural language processing.
• We have seen the most interesting part of NLP that is chatbot. First,
we went through a basic introductory part, real facts following with its
learning cycle and measuring the intelligence of a chatbot. Finally, we
have developed a chatbot named “ROBO” who will answer the user
query based on the content of chatbot.txt.
• We have also seen the implementation of personal virtual assistant.

25. References
 Naz Albayrak ; Aydeniz Özdemir ; Engin Zeydan, “An overview of artificial intelligence based
chatbots and an example chatbot application,” 2018 26th Signal Processing and Communications
Applications Conference (SIU); 10.1109/SIU.2018.8404430
 M. Nagao, “Natural language processing and knowledge”, 2005 International Conference on
Natural Language Processing and Knowledge Engineering
Saiyan Cheng ; Bin Wang,” An Overview of Publications on Artificial Intelligence Research: A
Quantitative Analysis on Recent Papers”, 2012 Fifth International Joint Conference on
Computational Sciences and Optimization, 10.1109/CSO.2012.156
https://medium.com/analytics-vidhya/building-a-simple-chatbot-inpython-using-nltk-
7c8c8215ac6e
 https://chatbotsmagazine.com/natural-language-processing-nlp-whychatbots-need-it-
a9d98f30ab13
 https://en.wikipedia.org/wiki/Chatbot

26. THANK YOU