Voice Assistant

A Python desktop voice assistant that listens for a wake word, records speech, recognizes commands, speaks responses, and uses the OpenAI API for conversational fallback responses.

This project is one of my larger Python practice builds because it combines a user interface, audio recording, speech recognition, text-to-speech, web actions, timer commands, and API integration.

Features

• Desktop interface built with Tkinter
• Wake-word listening for Jarvis-style commands
• Speech recognition from recorded microphone input
• Text-to-speech responses using pyttsx3
• OpenAI API integration for natural responses
• Built-in commands for time, timers, YouTube search, Google search, and Spotify search
• Threading so the assistant can listen while the UI stays responsive
• Conversation mode for short follow-up responses

Concepts Practiced

• Python classes
• Tkinter UI design
• Threading and queues
• Speech recognition
• Text-to-speech
• API usage
• Command parsing
• Error handling
• Desktop automation basics

How to Run

Install the required packages first:

pip install openai pyttsx3 pygame sounddevice scipy SpeechRecognition

Then run:

python jarvisvoiceassistant.py

You will also need to add your own OpenAI API key before using GPT responses.

What I Learned

This project helped me connect several Python libraries into one interactive program. I practiced organizing a larger script into methods, keeping a desktop UI responsive, and turning spoken commands into useful actions.