https://github.com/hari7261/auravoice

It integrates speech recognition, text-to-speech, and various system-level functionalities to provide a seamless user experience.
https://github.com/hari7261/auravoice

ai-assistant automate desktop-assistant google google-assistant hari7261 python speech-recognition

Last synced: 2 months ago
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It integrates speech recognition, text-to-speech, and various system-level functionalities to provide a seamless user experience.

• Host: GitHub
• URL: https://github.com/hari7261/auravoice
• Owner: hari7261
• License: mit
• Created: 2025-01-16T09:15:21.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-01-16T09:17:56.000Z (5 months ago)
• Last Synced: 2025-02-03T08:52:07.899Z (4 months ago)
• Topics: ai-assistant, automate, desktop-assistant, google, google-assistant, hari7261, python, speech-recognition
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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:

   ```bash

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