Voice Assistant

Overview

This project is a Voice Assistant built using Python. It integrates speech recognition, text-to-speech, and various system-level functionalities to provide a seamless user experience. The assistant can perform tasks like fetching weather information, opening applications, reading notifications, and answering general questions using Google Search.

Features

1. Speech Recognition: Uses the speech_recognition library to convert spoken commands into text.
2. Text-to-Speech: Utilizes the pyttsx3 library to convert text responses into speech.
3. Google Search Integration: Redirects user queries to Google Search and reads the results aloud.
4. System Integration: Can open files, folders, and applications, and provide system information (e.g., CPU and memory usage).
5. Notification Detection: Detects and reads notifications from apps like WhatsApp and Chrome.
6. Welcome and Goodbye Messages: Greets the user when the application starts and says goodbye when it closes.
7. Dynamic Weather Updates: Fetches weather information using Google Search.
8. Multi-threading: Uses threading to handle tasks like notification detection without blocking the main application.
9. Customizable GUI: Built using the customtkinter library for a modern and user-friendly interface.
10. Error Handling: Provides meaningful error messages for invalid commands or system issues.

Technologies Used

• Python: The core programming language used for development.
• SpeechRecognition: For converting speech to text.
• pyttsx3: For converting text to speech.
• customtkinter: For creating a modern and customizable GUI.
• requests: For making HTTP requests to fetch Google Search results.
• BeautifulSoup: For parsing HTML content from Google Search results.
• psutil: For fetching system information like CPU and memory usage.
• plyer: For detecting and reading notifications.
• threading: For handling background tasks like notification detection.

Logic and Workflow

1. Speech Recognition:

   • The assistant listens to the user's voice command using the microphone.
   • The speech_recognition library converts the audio into text.

2. Command Execution:

   • The assistant processes the text command and executes the corresponding function.
   • For example, if the user says, "What is the weather in Kolkata?", the assistant redirects to Google Search and reads the weather information.

3. Text-to-Speech:

   • The assistant uses the pyttsx3 library to convert the response into speech and reads it aloud.

4. System Integration:

   • The assistant can open files, folders, and applications using the os and subprocess libraries.
   • It can also fetch system information like CPU and memory usage using the psutil library.

5. Notification Detection:

   • The assistant uses the plyer library to detect notifications from apps like WhatsApp and Chrome.
   • It reads the notification content aloud using the pyttsx3 library.

6. Multi-threading:

   • Background tasks like notification detection are handled using the threading library to ensure the main application remains responsive.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/voice-assistant.git