Skip to content

Intelligent Personal Assistant

Abstract

Intelligent Personal Assistant is a Python project that uses NLP and automation to create a personal assistant. The application features voice recognition, task management, and a CLI interface, demonstrating best practices in productivity and AI.

Prerequisites

  • Python 3.8 or above
  • A code editor or IDE
  • Basic understanding of NLP and automation
  • Required libraries: speechrecognitionspeechrecognition, pyttsx3pyttsx3, gttsgtts, scheduleschedule

Before you Start

Install Python and the required libraries:

Install dependencies
pip install SpeechRecognition pyttsx3 gtts schedule
Install dependencies
pip install SpeechRecognition pyttsx3 gtts schedule

Getting Started

Create a Project

  1. Create a folder named intelligent-personal-assistantintelligent-personal-assistant.
  2. Open the folder in your code editor or IDE.
  3. Create a file named intelligent_personal_assistant.pyintelligent_personal_assistant.py.
  4. Copy the code below into your file.

Write the Code

⚙️ Intelligent Personal Assistant
Intelligent Personal Assistant
import datetime
import webbrowser
 
class IntelligentPersonalAssistant:
    def __init__(self):
        pass
 
    def tell_time(self):
        now = datetime.datetime.now()
        print(f"Current time: {now.strftime('%H:%M:%S')}")
 
    def open_website(self, url):
        webbrowser.open(url)
        print(f"Opened website: {url}")
 
    def demo(self):
        self.tell_time()
        self.open_website('https://www.python.org')
 
if __name__ == "__main__":
    print("Intelligent Personal Assistant Demo")
    assistant = IntelligentPersonalAssistant()
    assistant.demo()
 
Intelligent Personal Assistant
import datetime
import webbrowser
 
class IntelligentPersonalAssistant:
    def __init__(self):
        pass
 
    def tell_time(self):
        now = datetime.datetime.now()
        print(f"Current time: {now.strftime('%H:%M:%S')}")
 
    def open_website(self, url):
        webbrowser.open(url)
        print(f"Opened website: {url}")
 
    def demo(self):
        self.tell_time()
        self.open_website('https://www.python.org')
 
if __name__ == "__main__":
    print("Intelligent Personal Assistant Demo")
    assistant = IntelligentPersonalAssistant()
    assistant.demo()
 

Example Usage

Run personal assistant
python intelligent_personal_assistant.py
Run personal assistant
python intelligent_personal_assistant.py

Explanation

Key Features

  • Voice Recognition: Listens and processes voice commands.
  • Task Management: Manages tasks and reminders.
  • Error Handling: Validates inputs and manages exceptions.
  • CLI Interface: Interactive command-line usage.

Code Breakdown

  1. Import Libraries and Setup Assistant
intelligent_personal_assistant.py
import speech_recognition as sr
import pyttsx3
import schedule
import time
intelligent_personal_assistant.py
import speech_recognition as sr
import pyttsx3
import schedule
import time
  1. Voice Recognition and Task Management Functions
intelligent_personal_assistant.py
def listen_command():
    r = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening...")
        audio = r.listen(source)
    try:
        command = r.recognize_google(audio)
        return command
    except Exception as e:
        print(f"Error: {e}")
        return ""
 
def speak(text):
    engine = pyttsx3.init()
    engine.say(text)
    engine.runAndWait()
 
def add_task(task):
    print(f"Task added: {task}")
intelligent_personal_assistant.py
def listen_command():
    r = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening...")
        audio = r.listen(source)
    try:
        command = r.recognize_google(audio)
        return command
    except Exception as e:
        print(f"Error: {e}")
        return ""
 
def speak(text):
    engine = pyttsx3.init()
    engine.say(text)
    engine.runAndWait()
 
def add_task(task):
    print(f"Task added: {task}")
  1. CLI Interface and Error Handling
intelligent_personal_assistant.py
def main():
    print("Intelligent Personal Assistant")
    while True:
        cmd = input('> ')
        if cmd == 'listen':
            command = listen_command()
            speak(f"You said: {command}")
        elif cmd == 'add':
            task = input("Task: ")
            add_task(task)
        elif cmd == 'exit':
            break
        else:
            print("Unknown command. Type 'listen', 'add', or 'exit'.")
 
if __name__ == "__main__":
    main()
intelligent_personal_assistant.py
def main():
    print("Intelligent Personal Assistant")
    while True:
        cmd = input('> ')
        if cmd == 'listen':
            command = listen_command()
            speak(f"You said: {command}")
        elif cmd == 'add':
            task = input("Task: ")
            add_task(task)
        elif cmd == 'exit':
            break
        else:
            print("Unknown command. Type 'listen', 'add', or 'exit'.")
 
if __name__ == "__main__":
    main()

Features

  • Personal Assistant: Voice recognition and task management
  • Modular Design: Separate functions for each task
  • Error Handling: Manages invalid inputs and exceptions
  • Production-Ready: Scalable and maintainable code

Next Steps

Enhance the project by:

  • Integrating with calendar and email APIs
  • Supporting advanced NLP models
  • Creating a GUI for assistant
  • Adding context management
  • Unit testing for reliability

Educational Value

This project teaches:

  • Productivity: Personal assistant and automation
  • Software Design: Modular, maintainable code
  • Error Handling: Writing robust Python code

Real-World Applications

  • Virtual Assistants
  • Productivity Tools
  • Smart Home Integration

Conclusion

Intelligent Personal Assistant demonstrates how to build a scalable and intelligent assistant using Python. With modular design and extensibility, this project can be adapted for real-world applications in productivity, smart homes, and more. For more advanced projects, visit Python Central Hub.

Was this page helpful?

Let us know how we did