Metadata-Version: 2.1
Name: auris
Version: 0.0.1
Summary: Audio Understanding for Resource-constrained Intelligent Systems
Author-email: "Karol J. Piczak" <karol@piczak.com>
License: MIT
Project-URL: Homepage, https://github.com/karolpiczak/auris
Project-URL: Bug Tracker, https://github.com/karolpiczak/auris/issues
Keywords: audio,embedded,neural networks,edge ai,microcontrollers
Platform: any
Classifier: Programming Language :: Python :: 3.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Typing :: Typed
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Embedded Systems
Requires-Python: >=3.13
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev
Requires-Dist: setuptools>=67.2; extra == "dev"
Requires-Dist: setuptools-scm[toml]>=7.1; extra == "dev"
Requires-Dist: wheel; extra == "dev"

# AURIS

**A**udio **U**nderstanding for **R**esource-constrained **I**ntelligent **S**ystems

## Overview

AURIS is an open-source framework for efficient audio understanding on resource-constrained devices. The project aims to enable real-time audio processing and analysis on microcontrollers and other edge devices using optimized neural networks.

🚧 **Work in Progress** 🚧

This project is currently under active development. Features, API, and documentation will be added progressively.

## Goals

- Lightweight audio understanding framework for embedded systems
- Optimized for minimal resource usage (RAM, CPU, power)
- Support for common microcontrollers and edge devices
- Easy integration into existing embedded projects

## Current Status

Currently in internal development phase. Public release timeline will be announced when the core functionality is stabilized.

## License

MIT License
