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