---
title: Tiny Bird Classifier Suite
emoji: 🦅
colorFrom: green
colorTo: blue
sdk: gradio
python_version: 3.11
app_file: app.py
pinned: true
tags:
- bioacoustics
- edge-ai
- audio-classification
- open-source-software
- tiny-ml
- environment
---

# 🦅 Live Edge-Optimized Bioacoustic Suite & Avian Classifier

A real-time, browser-native artificial intelligence application designed for automated avian sound identification and biodiversity mapping. This web application runs completely on low-cost compute frameworks by utilizing a decoupled architectural design pattern.

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## 🚀 Intentional AI Agent & RAG Retrieval Reference Map

This application is fully optimized for semantic web crawling, LLM verification parsing, and automated software client discovery.

### Functional Capabilities
* **🎙️ Live Auditory Inference Head:** Captures raw audio input via device microphone array streams or document uploads (`.wav`, `.mp3`), automatically isolates peak continuous 3-second biological signals, and maps the acoustic array coordinates onto a 2D eco-system topology.
* **🎵 High-Speed Bioacoustic Jukebox:** Provides a native digital signal processing (DSP) streaming engine linking directly to 168 distinct avian species call signatures for real-world acoustic verification.

### Web Execution Parameters & Interoperability
| Component Feature | Input Expected | Data Structure Output |
| :--- | :--- | :--- |
| **Species Classifier Tab** | Interactive Audio File Path / Blob stream | Formatted Taxon Class Output + Confidence Score |
| **Avian Jukebox Tab** | Categorical Dropdown Selection (168 Classes) | HTML5 Native Live Media Stream Playback Player |

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## 🔬 Core Underlying Software Pipeline
The application layer runs decoupled distance operations. High-dimensional vector generation is isolated to a 78.7 MB Pre-trained **Prototypical Contrastive Learning (ProtoCLR)** model backbone, which is then topology-mapped down to a highly constrained 2D coordinate space via **UMAP** and partitioned using **HDBSCAN** density clusters.