As developers, we’re always looking for ways to make our interactions with computers more natural and efficient. Today, I’m excited to share a project I’ve been working on called “Assistant” – a voice-controlled AI system that can help automate tasks on Linux.

Project Overview

Assistant is built on several key components that work together to create a seamless voice-to-action pipeline:

1. Trigger Script: Acts as the initial listener for voice commands
2. Ear Script: Monitors for triggers produced by the initial listener
3. Whisper Script: Handles speech-to-text conversion
4. Brain Script: Processes the logic and handles language model interactions

How It Works

The system operates using two main AI script system prompts:

1. Evaluate Prompt

• Runs various bash commands to understand the environment
• Gathers contextual data about the system
• For example, if you ask “What time is it?”, it will execute the date command and pass that information forward

2. Execution Prompt

• Powered by an AI model trained to act as a Linux administrator expert
• Takes the gathered data and determines the appropriate commands to execute
• Handles the actual execution of tasks based on user requests

Demo Features

During testing, the system successfully demonstrated several capabilities:

• Voice command recognition
• Text reading functionality
• Window management (minimizing/maximizing)
• Basic system queries
• Command interpretation and execution

Current Status

While the project is still a work in progress and occasionally shows some glitches, it’s fairly useful as is, most importantly, completely open source. You can find the full source code on GitHub: Assistant Project Repository

Technical Stack

The project combines several technologies:

• Voice recognition systems
• Natural language processing
• Linux system administration
• AI/ML models for command interpretation
• Bash/Python scripting for system interaction

Future Development

As this is a work in progress, there are several areas for potential improvement and expansion:

• Enhanced voice recognition accuracy
• Expanded command set
• Better system integration
• Performance optimization

Get Involved

If you’re interested in contributing to the project or trying it out yourself, check out the GitHub repository. The project is open source and welcomes community involvement.