final_ppt[1].pptxCCCCCCCCCCCCCCCCCCCCCCCC

Contents
1. Introduction
2. Problem Statement
3. Objectives
4. Methodology
5. Features
6. Technology Stack
7. Implementation
8. Results
9. Future Enhancements
10. Conclusion
11. Acknowledgements

Introduction
Welcome to the presentation on our exciting project: Designing an
Advanced Voice Assistant Inspired by J.A.R.V.I.S.
Inspired by the iconic AI assistant, J.A.R.V.I.S., from the Iron Man
movies, we embarked on a journey to bring a futuristic vision to life
through the power of artificial intelligence.
Our project aims to address the growing need for intelligent virtual
assistants capable of seamlessly understanding and executing a wide
range of commands, thereby revolutionizing human-computer
interaction.
Throughout this presentation, we will delve into the challenges we
faced, the methodologies we employed, and the remarkable features of
our voice assistant, showcasing its potential to enhance productivity
and streamline everyday tasks.

Problem Statement
• Despite the advancements in artificial intelligence, the existing virtual
assistants often lack the sophistication and versatility required to meet
the diverse needs of users effectively.
• The challenge lies in designing and implementing a virtual assistant
capable of understanding and executing commands seamlessly, regardless
of complexity or variability in speech patterns.
• Existing virtual assistants often struggle with accurately interpreting user
commands, leading to frustration and inefficiency.
• Our project seeks to address this gap by developing an advanced voice
assistant inspired by J.A.R.V.I.S. from the Iron Man movies.
• The goal is to create a sophisticated system that not only understands a
wide range of commands but also executes them seamlessly, bringing a
futuristic vision to life using the power of artificial intelligence.

Objectives
1. Seamless Command Interpretation:
• Develop algorithms and models to accurately understand and interpret user
commands, regardless of complexity or variability in speech patterns.
2. User Interaction:
• Design an intuitive user interface that reflects the futuristic aesthetics often portrayed
in science fiction, providing both voice and text-based interaction options to enhance
user experience.
3. Integration with External Services:
• Integrate with external services such as Wikipedia, news APIs, email servers, and
messaging platforms to enable seamless communication and information retrieval.
4. Natural Language Processing:
• Utilize advanced natural language processing techniques to enhance the assistant's
ability to understand and respond to user queries in a conversation.

Methodology
1. Research and Analysis:
• Conducted extensive research on existing virtual assistant technologies and
their limitations.
• Analyzed user requirements and expectations to determine the features and
functionalities to be implemented.
2. Technology Selection:
• Selected appropriate technologies and programming languages based on their
suitability for natural language processing, user interface development, and
integration with external services.
3. Development Process:
• Adopted an agile development approach to iteratively design, develop, and
test the voice assistant.
• Divided the project into sprints, with each sprint focusing on implementing
specific features or functionalities.

4. Natural Language Processing (NLP):
• Employed state-of-the-art NLP techniques to process and understand user
commands.
• Leveraged pre-trained language models and custom algorithms to enhance the
assistant's ability to interpret natural language input.
5. Integration with External Services:
• Integrated with external services such as Wikipedia, news APIs, email servers,
and messaging platforms using appropriate APIs and protocols.
6. Deployment and Monitoring:
• Deployed the voice assistant on appropriate platforms, such as desktop
computers, mobile devices, or smart speakers.
• Implemented monitoring and analytics tools to track usage patterns, identify
bottlenecks, and optimize performance.

Features
1. Voice Recognition:
• Seamlessly recognize and interpret natural language commands spoken by
the user.
2. Functional Diversity:
• Perform a wide range of tasks, including setting alarms, sending messages,
playing music, querying websites, and more.
3. Joke Telling:
• Entertain users with a collection of witty jokes and humorous responses.
4. Application Control:
• Open, close, or switch between applications based on user commands.
5. Information Retrieval:
• Query online sources such as Wikipedia to retrieve information.

6. News Updates:
• Provide users with the latest news updates from reputable sources.
7. Natural Language Understanding:
• Understand and respond to user queries in a conversational manner,
enhancing the user experience.
8. Customizable Preferences:
• Allow users to customize preferences and settings to tailor the assistant
to their needs.
9.Futuristic User Interface:
• Present a visually appealing and intuitive user interface inspired by
science fiction aesthetics.
10. Error Handling:
• Implement robust error handling mechanisms to gracefully handle
unexpected inputs or errors.

Technology Stack
1. Programming Languages:
• Python: Used for the backend development, natural language processing, and
integration with external services.
• PyQt5: Employed for frontend development to create the user interface.
2. Libraries and Modules:
• pyttsx3: For text-to-speech conversion.
• speech_recognition: For speech recognition.
• datetime: For working with date and time.
• os: For interacting with the operating system.
• wikipedia: For fetching information from Wikipedia.

• pywhatkit: For sending WhatsApp messages and playing YouTube videos.
• sys: For interacting with the Python interpreter.
• pyjokes: For fetching random jokes.
• PyQt5: For creating the graphical user interface (GUI).
4. APIs and Services:
• News APIs: Utilized to fetch the latest news updates from various news sources.
5. Development Tools:
• Git: Utilized for version control and collaborative development.
• VS Code: Chosen as the primary integrated development environment (IDE) for
coding and debugging.

Implementation
• Imported libraries such as `webbrowser`, `pyttsx3`, `speech_recognition`,
`datetime`, `os`, `cv2`, `requests`, `wikipedia`, `pywhatkit`, `smtplib`, `sys`,
`pyjokes`, and PyQt5 modules and initialized the `pyttsx3` engine for
text-to-speech conversion.
• Designed the overall architecture of the voice assistant, including
backend and frontend user interface.
• Defining a subclass `MainThread` of `QThread` for handling the main
tasks of the application asynchronously.
• The `taskExecution` method of `MainThread` performs the main
functionalities of the virtual assistant.

• GUI Implementation defines a class ÙserInterface` that subclasses
`QMainWindow`. It starts the `MainThread` instance when a button is
clicked and updates the UI with current time.
• Initialize a `QApplication` instance, create the ÙserInterface` object, and
display the GUI. It starts the event loop with àpp.exec_()` to run the
application.
• Conducted tests to ensure the reliability and functionality of the voice
assistant.
• The latestNews function fetches and reads news articles from various
categories using the News API.

main.py
import webbrowser
import pyttsx3
import speech_recognition as sr
import datetime
import os
import cv2
from requests import get
import wikipedia
import pywhatkit as kit
import smtplib
import sys
import pyjokes
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.uic import loadUiType
from jarvisGUI import Ui_JarvisGUI
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voices', voices[0].id)
def speak(audio):
engine.say(audio)
print(audio)
engine.runAndWait()
def wish():
hour = int(datetime.datetime.now().hour)
if hour >= 0 and hour < 12:
speak("good morning")
elif hour > 12 and hour < 18:
speak("good afternoon")
else:
speak("good evening")
speak("i am jarvis tell me how can i help you")
def sendEmail(to, content):
server = smtplib.SMTP('smtp.gmail.com', 587)
server.ehlo()
server.starttls()
server.login('vikaskumar678@gmail.com',
'vikas12345@')
server.sendmail('your mail id', to, content)
server.close()
class MainThread(QThread):
def __init__(self):
super(MainThread, self).__init__()
def run(self):
self.taskExecution()
def takecommand(self):
r = sr.Recognizer()
with sr.Microphone() as source:
print("listening......")
r.pause_threshold = 1
audio = r.listen(source)
try:
print("Recognizing.....")
query = r.recognize_google(audio)
print(f"user said: {query}")
except Exception as e:
speak("Say that again please.....")
return "none"
return query

def taskExecution(self):
# speak("hii hello")
wish()
while True:
self.query = self.takecommand().lower()
if "open chrome" in self.query:
cr = "C:Program
FilesGoogleChromeApplicationchrome.
exe"
os.startfile(cr)
elif "open command prompt" in
self.query:
os.system("start cmd")
elif "open camera" in self.query:
cap = cv2.VideoCapture(0)
while True:
ret, img = cap.read()
cv2.imshow('webcam', img)
k = cv2.waitKey(50)
if k == 27:
break;
cap.release()
cv2.destroyAllWindows()
elif "play music" in self.query:
music_dir = "E:songs"
songs = os.listdir(music_dir)
for song in songs:
if song.endswith('.mp3'):
os.startfile(os.path.join(music_dir, song))
elif "ip address" in self.query:
ip = get('https://api.ipify.org').text
speak(f"your ip address is {ip}")
elif "wikipedia" in self.query:
speak("searching wikipedia...")
self.query = self.query.replace("wikipedia", "")
results = wikipedia.summary(self.query,
sentences=2)
speak("according to wikipedia...")
speak(results)
print(results)
elif "news" in self.query:
from NewsRead import latestNews
latestNews()
elif "open youtube" in self.query:
speak("opening youtube")
webbrowser.open("www.youtube.com")
elif "open facebook" in self.query:
speak("opening facebook")
webbrowser.open("www.facebook.com")
elif "open linkedin" in self.query:
speak("opening linkedin")
webbrowser.open("www.linkedin.com")
elif "open google" in self.query:
speak("sir what do I search on
google")
cm = self.takecommand().lower()
webbrowser.open(f"{cm}")
elif "send whatsapp message" in
self.query:
kit.sendwhatmsg("+916204042821",
“Hello", 20, 13)
elif "search songs on youtube" in
self.query:
kit.playonyt("see you again")
elif "send email to vikas" in self.query:

try:
speak("what should i say?")
content =
self.takecommand().lower()
to = "vikaskum1ar@gmail.com"
sendEmail(to, content)
speak("email has been sent")
except Exception as e:
print(e)
speak("sorry sir i am not able to
send this email")
elif "no thanks" in self.query:
speak("thanks for using me sir, have
a good day")
sys.exit()
elif "stop" in self.query:
speak("ok sir")
sys.exit()
elif "close chrome" in self.query:
speak("closing chrome sir")
os.system("taskkill /f /im
chrome.exe")
elif "set alarm" in self.query:
nn =
int(datetime.datetime.now().hour)
if nn == 00:
speak(f"alarm is set at {nn}")
music_dir = "E:songs"
songs = os.listdir(music_dir)
os.startfile(os.path.join(music_dir, songs[1]))
elif "tell me a joke" in self.query:
jk = pyjokes.get_joke()
speak(jk)
elif "shut down the system" in self.query:
os.system('shutdown /s /t 5')
elif "restart the system" in self.query:
os.system("shutdown /r /t 5")
elif "sleep the system" in self.query:
os.system("rund1132.exe powrprof.dll,
SetSuspendState 0,1,0")
speak("sir, do you have any other work")
startExecution = MainThread()
class UserInterface(QMainWindow):
def __init__(self):
super().__init__()
self.ui = Ui_JarvisGUI()
self.ui.setupUi(self)
self.ui.pushButton.clicked.connect(self.startTask)
self.ui.pushButton_2.clicked.connect(self.close)
def startTask(self):
self.ui.movie =
QtGui.QMovie("Gifs/MImN.gif")
self.ui.label.setMovie(self.ui.movie)
self.ui.movie.start()
self.ui.movie =
QtGui.QMovie("Gifs/7kmF.gif")
self.ui.label_2.setMovie(self.ui.movie)
self.ui.movie =
QtGui.QMovie("Gifs/SUV4.gif")
self.ui.movie =
QtGui.QMovie("Gifs/Jarvis_Loading_Screen.gif")
self.ui.movie = QtGui.QMovie("Gifs/7fi4")
timer = QTimer(self)
timer.timeout.connect(self.showTime)
timer.start(1000)
startExecution.start()

def showTime(self):
current_time = QTime.currentTime()
current_date = QDate.currentDate()
time = current_time.toString("hh:mm:ss")
date =
current_date.toString("dd/MM/yyyy")
self.ui.textBrowser.setText("nnDate:
"+date+"nnTime: "+time)
app = QApplication(sys.argv)
jarvis = UserInterface()
jarvis.show()
exit(app.exec_())

NewsRead.py
import requests
import json
import pyttsx3
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voices', voices[0].id)
def speak(audio):
engine.say(audio)
print(audio)
engine.runAndWait()
def latestNews():
apidict= {"business":
"https://newsapi.org/v2/top-
headlines?country=in&category=business&apiK
ey=69dcc3ac5fb64dad8465953e66dd70b5",
"sports": "https://newsapi.org/v2/top-
headlines?country=in&category=sports&apiKey
=69dcc3ac5fb64dad8465953e66dd70b5",
"entertainment":
"https://newsapi.org/v2/top-
headlines?country=in&category=entertainment&apiK
ey=69dcc3ac5fb64dad8465953e66dd70b5",
"health": "https://newsapi.org/v2/top-
headlines?country=in&category=health&apiKey=69dc
c3ac5fb64dad8465953e66dd70b5",
"technology": "https://newsapi.org/v2/top-
headlines?country=in&category=technology&apiKey=
69dcc3ac5fb64dad8465953e66dd70b5"
}
content = None
url = None
speak("which field news do you want, [business] ,
[sports] , [entertainment] , [health] , [technology]")
field= input("type field news that you want")
for key, values in apidict.items():
if key.lower() in field.lower():
url=values
print(url)
print("url was found")
break
else:
url = False
if url is False:
print("url not found")
news = requests.get(url).text
news = json.loads(news)
speak("this is your first news")
arts = news["articles"]
for articles in arts:
article = articles["title"]
print(article)
speak(article)
news_url = articles['url']
print(f"for more info visit {news_url}")
a = input("[press 1 to continue] and
[press 2 to stop]")
if str(a) == "1":
pass
elif str(a) == "2":
break
speak("that's all")

Results
1. Successful Development:
• Successfully developed and implemented an advanced voice assistant
inspired by J.A.R.V.I.S.
• Implemented a wide range of features and functionalities, including voice
recognition, natural language processing, and integration with external
services.
2. Seamless User Experience:
• Delivered a seamless and intuitive user experience through a futuristic
user interface and natural language understanding capabilities.
• Users can interact with the assistant effortlessly, performing tasks such as
setting alarms, sending messages, and retrieving information with ease.
3. High Accuracy:
• Achieved high accuracy in speech recognition and natural language
understanding tasks, minimizing errors and misunderstandings.
• Fine-tuned machine learning models and algorithms to improve accuracy

4. Positive Feedback:
• Received positive feedback from users on the assistant's functionality,
reliability, and user interface design.
• Users appreciated the assistant's ability to understand and execute
commands effectively, enhancing their productivity and convenience.
5. Increased Productivity:
• Users reported increased productivity and efficiency in performing
various tasks with the assistance of the voice assistant.
• The assistant streamlined routine tasks such as setting reminders,
checking the weather, and retrieving information, saving users time and
effort.

Future Enhancements
1. Multi-Language Support:
• Enhance the natural language processing capabilities to support multiple languages,
catering to a broader user base.
2. Personalization and User Profiles:
• Implement user profiles and preferences to personalize the assistant's responses and
recommendations based on individual user preferences.
3. Contextual Understanding:
• Develop algorithms to improve the assistant's ability to understand and respond
contextually to user queries, considering previous interactions and user history.
4. Voice Modulation and Customization:
• Introduce voice modulation and customization options, allowing users to personalize
the assistant's voice and tone.

5. Advanced Task Automation:
• Expand the range of tasks the assistant can automate, such as scheduling
appointments, booking reservations, and managing finances.
6. Emotion Recognition and Response:
• Incorporate emotion recognition capabilities to detect and respond to users' emotional
states, providing empathetic and personalized interactions.
7. Continuous Learning and Improvement:
• Implement mechanisms for continuous learning and improvement, allowing the
assistant to adapt and evolve over time based on user feedback and usage patterns.
8. Accessibility Features:
• Introduce accessibility features such as text-to-speech and voice commands for users
with disabilities, ensuring inclusivity and accessibility for all users.
9. Augmented Reality (AR) Integration:
• Explore integration with augmented reality technologies to provide immersive and
interactive experiences through AR interfaces.

Conclusion
In conclusion, our project to design an advanced voice
assistant inspired by J.A.R.V.I.S. has been a significant
step towards realizing the potential of artificial
intelligence in revolutionizing human-computer
interaction.
Through meticulous planning, implementation, and
testing, we have successfully developed a
sophisticated virtual assistant capable of
understanding and executing a wide range of
commands seamlessly.
The voice assistant's futuristic user interface, coupled
with its natural language processing capabilities, has
provided users with an intuitive and immersive
experience, reminiscent of science fiction.

Acknowledgement
Faculty Advisors: [Dr. Roopa H] - for their guidance,
support, and mentorship throughout the project.
Team Members: [Tulasi, Ujjwal, Vikas, Shubham] - for
their hard work, dedication, and collaborative efforts
in bringing this project to fruition.
Open Source Community: - for providing access to
various tools, libraries, and resources that were
instrumental in the development process.
[Bangalore Institute of Technology]: - for providing
the necessary resources, facilities, and opportunities.

Thank You !!
We respect your valuable time

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