Lecture on Python Projects: Jarvis and WhatsApp Bot Projects

Jarvis Project

Overview

Creating a virtual assistant like Alexa/Google Home
Using Python libraries and APIs
Speech recognition, Text-to-Speech, and OpenAI integration

Setting Up Environment

Create virtual environment: venv
Install necessary packages:
- pip install speechrecognition pyaudio ttsx3 webbrowser setuptools

Initializing Jarvis

Import necessary modules: speech_recognition, pyttsx3, webbrowser
Create recognizer object: recognizer = sr.Recognizer()
Initialize TTXS engine: engine = pyttsx3.init()

Define speak function

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

Main loop to listen wake-word 'Jarvis'

while True:
    # Listen for 'Jarvis'
    with sr.Microphone() as source:
        # Your code to capture audio and process further
        # Listen for command and process

Listening and Recognizing Commands

Setting recognizer with Google

if command.lower() == 'jarvis':
    listen for specific commands
    process commands

Performing Actions

Open Google, Facebook, YouTube, LinkedIn through webbrowser.open
Play specific songs using music_library dictionary
- Example: music_library['song name'] = 'url'
Use OpenAI for custom responses
- Setting client, generating responses & text-to-speech

WhatsApp Bot Project

Overview

Automate WhatsApp message replies using a bot
Python automation with pyautogui, piperclip, and OpenAI API

Setting Up Environment

Create virtual environment
Install necessary packages:
- pip install pyautogui piperclip openai

Automating WhatsApp

Locate and copy message content using pyautogui
Parse content and generate a context-based response using OpenAI API
Example: content = pyautogui.locateOnScreen('screen.png')

OpenAI Integration

Generate responses based on chat history

client = openai.ApiClient(api_key='YOUR_API_KEY')
response = client.completion.create(
    prompt='Your conversation content',
    max_tokens=100
)
response_text = response.choices[0].text.strip()

Sending Reply

Using pyautogui to copy response to clipboard and send in WhatsApp
```
pyautogui.write(response_text)
pyautogui.press('enter')
```

Continuous Automation

Run in a loop to continuously read and respond to new messages
```
while True:
    # Check for new messages and respond
```

Enhancements and Improvisations

Fine-tuning recognition and commands processing
Adding new functionalities such as handling different URLs
Improving efficiency using better libraries or optimizing the code

Concluding Notes

Integration of new modules and understanding APIs for advanced features
Using Python to create impactful and practical applications

Additional Tips for Project Implementation

GitHub Version Control

Utilize GitHub to push and manage your projects
Helps in showcasing your work to potential recruiters

Job Search Tips

Be active on LinkedIn and ensure professional profiling
Send personalized job application emails

Recommended Learning Resources

Explore further libraries: MediaPipe, OpenCV, Django, Flask
Books: Python for Data Science, Hands-on Machine Learning with Scikit-Learn and Tensorflow