🗣️ Voice-Based Desktop Assistant

A smart desktop assistant that uses speech recognition and face authentication to interact with users and execute system-level commands.

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🚀 Steps to Execute the Project

1. ✅ Create a Virtual Environment

Create a virtual environment to isolate dependencies:

python -m venv venv

Activate it:

• Windows:

  venv\Scripts\activate

• macOS/Linux:

  source venv/bin/activate

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2. 📦 Install Required Packages

Install the following packages in the virtual environment:

pip install SpeechRecognition pyttsx3 datetime pywhatkit opencv-python pandas numpy Pillow subprocess psutil pyautogui pyperclip

Note: Some packages like sys, subprocess, webbrowser, and urllib.parse are part of Python’s standard library — no need to install them via pip.

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3. 🔐 User Authentication via Face Recognition

Go to the Face2 directory and follow these steps:

1. Generate Face Samples

   python sample_generator.py

2. Train the Model

   python model_trainer.py

3. Run Face Recognition for Authentication

   python face_recognition.py

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4. 🗂️ Configure Application Paths

Inside the Engine folder, update Path.xlsx with:

• Application names
• Their corresponding absolute file paths

Example: Chrome | C:\Program Files\Google\Chrome\Application\chrome.exe

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5. ▶️ Run the Assistant

Start the assistant by executing:

python main.py

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🔊 Supported Commands

To explore the full list of voice commands the assistant can respond to, refer to:

run.py

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