This project serves as the "eyes and ears" for the AI personal assistant, Jarvis. It's designed to run on Raspberry Pi devices equipped with a USB microphone and an AI RPi cam.

• Audio capture from USB microphone
• Video capture from AI RPi cam
• Pre-programmed responses for common queries
• API requests to a local server for advanced query processing
• Audio playback through connected speakers
• Text-to-Speech (TTS) functionality using lightweight libraries suitable for Raspberry Pi

This project follows the GitFlow branching strategy:

• master for production releases
• develop for next release development
• feature/* for new features
• release/* for release preparation
• hotfix/* for urgent fixes

Instructions for setting up and running the project will be added here as the project develops.

argus/
├── src/                 # Source code
├── tests/               # Unit tests
├── docs/                # Documentation
├── config/              # Configuration files
├── scripts/             # Utility scripts
├── requirements.txt     # Python dependencies
├── .gitignore           # Git ignore file
└── README.md            # This file

• Raspberry Pi (3B+ or 4 recommended)
• USB Microphone
• AI RPi Camera Module
• Speaker (connected via 3.5mm jack or USB)

• Python 3.7+
• Required Python packages (see requirements.txt)
• Git
• Git Flow
• espeak-ng (system dependency for TTS)

The codename for this project is Argus, named after the hundred-eyed giant in Greek mythology, reflecting the system's role as the "eyes and ears" of Jarvis.

The Text-to-Speech functionality is implemented using pyttsx3, which is a lightweight TTS library that works offline and is suitable for Raspberry Pi hardware. It uses the espeak-ng engine by default on Linux systems.

Configuration options for TTS can be found in config/settings.ini under the [TTS] section:

• rate: Speech rate in words per minute (default: 200)
• volume: Volume level between 0.0 and 1.0 (default: 0.9)
• voice: Voice ID (default: system default)