Make JARVIS In Real life by using Python

 Got it! If you're aiming to create a Jarvis-like assistant from scratch, I'll guide you through the steps, from start to finish. I'll break it down into manageable chunks, including the necessary coding, tools, and concepts. Let's get started with building your own assistant.

Step 1: Set Up Your Environment

First, you’ll need a programming environment ready. You can use Python (which is the easiest for beginners) for this project.

Install Python

Make sure you have Python installed on your computer. You can download it from python.org.

Once installed, check that it's working by running the following in your terminal/command prompt:

python --version

Set Up Virtual Environment

It's good practice to use a virtual environment to keep things organized. To set up a virtual environment:

1. Install virtualenv:

   pip install virtualenv
   

2. Create a new virtual environment:

   virtualenv jarvis-env
   

3. Activate the virtual environment:

   • On Windows:

     jarvis-env\Scripts\activate
     

   • On Mac/Linux:

     source jarvis-env/bin/activate
     

Step 2: Install Dependencies

To build a Jarvis-like assistant, you'll need several libraries for voice recognition, text-to-speech, and task execution. Install these libraries:

pip install SpeechRecognition pyttsx3 pywhatkit wikipedia pyjokes pyautogui requests

Here’s a breakdown of what each library is for:

• SpeechRecognition: Converts speech into text.

• pyttsx3: Converts text into speech (for Jarvis to speak).

• pywhatkit: Allows you to play YouTube videos, search Google, send WhatsApp messages, and more.

• wikipedia: Fetches information from Wikipedia.

• pyjokes: Tells jokes to make it fun.

• pyautogui: Simulates mouse and keyboard events (useful for automating tasks).

• requests: Fetches data from the web (useful for APIs).

Step 3: Basic Speech Recognition and Text-to-Speech

You’ll first need to get the assistant to listen to your commands and speak back. Here’s how you can get started:

3.1 Speech Recognition (Listening)

Create a Python script called jarvis.py. Add this code to get basic voice input:

import speech_recognition as sr

def listen():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening...")
        audio = recognizer.listen(source)
    
    try:
        print("Recognizing...")
        query = recognizer.recognize_google(audio, language="en-US")
        print(f"You said: {query}")
    except Exception as e:
        print("Sorry, I didn't get that")
        return None

    return query.lower()

if __name__ == "__main__":
    while True:
        command = listen()
        if command:
            print(f"Command received: {command}")
            # Process command

This will listen to your voice through the microphone and recognize the speech. If the assistant doesn’t understand, it will ask you to repeat.

3.2 Text-to-Speech (Speaking)

To make Jarvis speak back, you’ll use pyttsx3.

import pyttsx3

def speak(text):
    engine = pyttsx3.init()
    engine.say(text)
    engine.runAndWait()

Now, you can call speak("Hello, I am Jarvis") to get Jarvis to talk. Try combining both:

import pyttsx3
import speech_recognition as sr

def listen():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening...")
        audio = recognizer.listen(source)
    
    try:
        print("Recognizing...")
        query = recognizer.recognize_google(audio, language="en-US")
        print(f"You said: {query}")
    except Exception as e:
        print("Sorry, I didn't get that")
        return None

    return query.lower()

def speak(text):
    engine = pyttsx3.init()
    engine.say(text)
    engine.runAndWait()

if __name__ == "__main__":
    while True:
        command = listen()
        if command:
            speak(f"You said: {command}")

This code listens for your voice and responds back with what you said.

Step 4: Add Simple Commands

Now, let’s give Jarvis some basic functionality, like telling the time or playing music.

4.1 Tell the Time

To tell the time, you can use Python’s datetime module:

import datetime

def tell_time():
    now = datetime.datetime.now()
    return now.strftime("%H:%M:%S")

In your main loop, add:

if "time" in command:
    time = tell_time()
    speak(f"The time is {time}")

4.2 Play Music (YouTube)

You can use pywhatkit to make Jarvis play a song on YouTube:

import pywhatkit as kit

def play_music(query):
    song = query.replace("play", "")
    speak(f"Playing {song}")
    kit.playonyt(song)

Now, if you say "Play Shape of You," it will start playing the song on YouTube.

Step 5: Additional Features

You can now add features like:

• Weather Updates: Use an API like OpenWeatherMap to get the weather.

• Wikipedia Search: Use the Wikipedia library to fetch information.

For example:

import wikipedia

def search_wikipedia(query):
    result = wikipedia.summary(query, sentences=2)
    return result

if "wikipedia" in command:
    speak("Searching Wikipedia...")
    query = command.replace("wikipedia", "")
    result = search_wikipedia(query)
    speak(result)

Step 6: Putting It All Together

Now, you can combine everything to create a simple but functional assistant:

import pyttsx3
import speech_recognition as sr
import datetime
import pywhatkit as kit
import wikipedia
import pyjokes

def listen():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening...")
        audio = recognizer.listen(source)
    
    try:
        print("Recognizing...")
        query = recognizer.recognize_google(audio, language="en-US")
        print(f"You said: {query}")
    except Exception as e:
        print("Sorry, I didn't get that")
        return None

    return query.lower()

def speak(text):
    engine = pyttsx3.init()
    engine.say(text)
    engine.runAndWait()

def tell_time():
    now = datetime.datetime.now()
    return now.strftime("%H:%M:%S")

def play_music(query):
    song = query.replace("play", "")
    speak(f"Playing {song}")
    kit.playonyt(song)

def search_wikipedia(query):
    result = wikipedia.summary(query, sentences=2)
    return result

def tell_joke():
    joke = pyjokes.get_joke()
    return joke

if __name__ == "__main__":
    while True:
        command = listen()
        if command:
            if "time" in command:
                time = tell_time()
                speak(f"The time is {time}")
            elif "play" in command:
                play_music(command)
            elif "wikipedia" in command:
                query = command.replace("wikipedia", "")
                result = search_wikipedia(query)
                speak(result)
            elif "joke" in command:
                joke = tell_joke()
                speak(joke)
            elif "exit" in command:
                speak("Goodbye!")
                break

Step 7: Expanding the Assistant

You can add more commands, integrations with IoT (for smart home control), advanced machine learning for personalization, or even run complex tasks. Some ideas:

• Integrate with Google Calendar to set reminders.

• Add email and messaging features (sending emails or WhatsApp messages).

• Connect to smart home devices (like controlling lights, thermostats, etc.).

• Add machine learning to recognize your preferences over time.

Final Thoughts

This is just the foundation. Building a full-fledged, personalized assistant like Jarvis requires integrating a lot of tools and APIs, but this guide should give you a solid start.

Let me know if you need help with a specific part!

-These codes are generated by OpenAi for more accuracy.