Build your own J.A.R.V.I.S in Python [Full Code + Video]

In this article, we will learn how to create a Feature Rich Virtual Assistant in Python. We will be adding following features to this project :

1. Time Reporting

2. Taking Screenshot

3. Performing Google Search

4. Opening a Specific Website

5. Searching on Wikipedia

6. Listen to Jokes

7. Desktop Notifications for COVID-19 Statistics.

Here is the code for the complete project :

import speech_recognition as sr
import pyttsx3
import datetime
import webbrowser
import wikipedia
import pyjokes
import pyautogui
from plyer import notification
from bs4 import BeautifulSoup
import requests

engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id)

def input_query():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print('recognition is on....')
        recognizer.pause_threshold = 0.7
        voice = recognizer.listen(source)
            query = recognizer.recognize_google(voice).lower()
            print('this is the query that was made....', query)
            return query
        except Exception as ex:
            print('An exception occurred', ex)

def report_time():
    current_time ='%I:%M %p')
    return current_time

def speak_va(transcribed_query):

def make_request(url):
  response = requests.get(url)
  return response.text

def activate_va():
    user_query = input_query()
    print('user query ....', user_query)
    if 'time' in user_query:
        current_time = report_time()
        print(f"the current time is {current_time}")
        speak_va(f"the current time is {current_time}")
    elif 'open website' in user_query:
            "Please type the name of the website that you want to open (specify the full url) n")
        website_name = input()
            'C:/Program Files (x86)/Google/Chrome/Application/chrome.exe %s').open(website_name)
        speak_va(f"{website_name} opened.")
    elif 'wikipedia' in user_query:
        speak_va("Searching on Wikipedia")
        user_query = user_query.replace('wikipedia', ' ')
        result = wikipedia.summary(user_query, sentences=4)
    elif 'joke' in user_query:
        random_joke = pyjokes.get_joke()
    elif 'screenshot' in user_query:
        image = pyautogui.screenshot()'screenshot.png')
        speak_va('Screenshot taken.')
    elif 'search' in user_query:
        speak_va("What do you want me to search for (please type) ? ")
        search_term = input()
        search_url = f"{search_term}"
            'C:/Program Files (x86)/Google/Chrome/Application/chrome.exe %s').open(search_url)
        speak_va(f"here are the results for the search term: {search_term}")
    elif 'covid stats' in user_query:
      html_data = make_request('')
      # print(html_data)
      soup = BeautifulSoup(html_data, 'html.parser')
      total_global_row = soup.find_all('tr', {'class': 'total_row'})[-1]
      total_cases = total_global_row.find_all('td')[2].get_text()
      new_cases = total_global_row.find_all('td')[3].get_text()
      total_recovered = total_global_row.find_all('td')[6].get_text()
      print('total cases : ', total_cases)
      print('new cases', new_cases[1:])
      print('total recovered', total_recovered)
      notification_message = f" Total cases : {total_cases}n New cases : {new_cases[1:]}n Total Recovered : {total_recovered}n"
        title="COVID-19 Statistics",
      speak_va("here are the stats for COVID-19")
while True:

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