Releases: Issac-Moses/Beacon
Releases · Issac-Moses/Beacon
Beacon App Version 1.0.2
Beacon App Version 1.0,1
🔹 Beacon – Voice Controlled AI Assistant
Beacon is a lightweight AI-powered desktop assistant that listens to your voice, executes commands, and assists you with daily tasks.
It uses Whisper.cpp for speech recognition and integrates automation features to make your workflow faster and more accessible.
🚀 Features
- 🎙️ Wake Word Activation → Say "Hey Beacon" to start listening
- 🗣️ Voice Commands → Perform tasks hands-free
- 📸 Screenshot Capture → Automatically take desktop screenshots
- 📂 Cross-Platform Support → Works on Windows, Linux, and macOS
- ⚡ Optimized Performance → Runs efficiently on your CPU with full resource utilization
- 🛠️ Customizable Shortcuts → Desktop shortcut & Start Menu integration
- 📜 License Window → Displays license agreement during installation
📦 Installation
- Download the Beacon Installer (SFX Archive)
- Run the installer and follow the setup instructions
- The installer will:
- Extract required files
- Run
windows.batautomatically - Create a desktop shortcut for
Beacon.exe
🖥️ Usage
- Say "Hey Beacon" → Assistant activates
- Speak your command clearly → Example: "Take screenshot"
- Beacon executes the action and gives feedback
- Screenshots are saved in the default folder (
G:\Assistant\screen.pngby default)
📁 Project Structure
Beacon/
│── beacon/ # Core assistant files
│── models/ # AI/Whisper models
│── whisper.cpp/ # Speech-to-text engine
│── Beacon.exe # Main application
│── accuracy.py # Accuracy testing script
│── speed.py # Performance testing script
│── windows.bat # Windows startup script
│── Mac.bat # MacOS startup script
│── Linux.bat # Linux startup script
│── requirements.txt # Dependencies
│── LICENSE.txt # License agreement
│── gemini_key.txt # API key storage
│── logo.ico # Application icon
│── screen.png # Screenshot output🛠️ Requirements
- OS: Windows / Linux / MacOS
- CPU: Intel i5-2400 or higher (Beacon is optimized to use full CPU power)
- RAM: 8 GB minimum (16 GB recommended)
- Dependencies: Listed in
requirements.txt
Install dependencies with:
pip install -r requirements.txt