Mega Project 1: Jarvis

Introduction

Focus: Creating a virtual assistant similar to Alexa or Google Home using Python.
Tools: Virtual environment, Speech Recognition, pyttsx, Web Browser module, OpenAI API.

Initialization

Create a virtual environment:
```
python -m venv venv
``
```
Activate the virtual environment:
```
.\venv\Scripts\activate.ps1
``
```

Required Packages

Install necessary packages:

pip install SpeechRecognition pyttsx3 webbrowser openai

Creating the Jarvis Assistant

Step 1: Initialize Libraries

Import the necessary libraries:

import speech_recognition as sr
import pyttsx3
import webbrowser
import openai
from datetime import datetime
``

Step 2: Create Recognizer and Engine

Initialize the recognizer and text-to-speech engine:

recognizer = sr.Recognizer()
engine = pyttsx3.init()

Step 3: Speak Function

Function to make the assistant speak:

def speak(text):
    engine.say(text)
    engine.runAndWait()

Step 4: Listening for Wake Word

Listen for the wake word using the microphone:

def listen_for_wake_word():
    try:
        with sr.Microphone() as source:
            print("Listening...")
            recognizer.adjust_for_ambient_noise(source)
            audio = recognizer.listen(source)
            command = recognizer.recognize_google(audio).lower()
            if 'jarvis' in command:
                speak("Yes, I'm listening")
                command = recognizer.listen(source)
                return recognizer.recognize_google(command).lower()
    except sr.UnknownValueError:
        pass

Step 5: Processing Commands

Define a function to process various commands:

def process_command(command):
    if 'open google' in command:
        webbrowser.open('https://google.com')
    elif 'open youtube' in command:
        webbrowser.open('https://youtube.com')
    elif 'open facebook' in command:
        webbrowser.open('https://facebook.com')
    elif 'play music' in command:
        # function to play music
        pass
    elif 'news' in command:
        # function to fetch news
        pass
    else:
        respond_openai(command)

Step 6: OpenAI Integration

Integrate OpenAI API to handle complex requests:

openai.api_key = 'YOUR_OPENAI_API_KEY'

def respond_openai(prompt):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=100
    )
    speak(response.choices[0].text.strip())

Step 7: Main Function

Main loop to keep the assistant running:

if __name__ == "__main__":
    while True:
        command = listen_for_wake_word()
        if command:
            process_command(command)

Step 8: Testing and Enhancements

Test basic functionalities like opening websites and responding to general queries.
Implement additional features such as fetching news, playing specific songs, etc.