Creative project
Bird Song Logix
Listen to the wild.
Offline bird song identification and data analysis powered by BirdNET AI. Built in C# for the field.
In action
See the app
Main interface
Application home screen — upload recordings and view live detection results
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Species detection
Confidence scores and species card view
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Data export
CSV/SQLite export and session history
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What it does
Core features
Offline analysis
No internet required. Analyse recordings entirely on-device — perfect for field use in remote locations.
BirdNET neural net
Powered by the Cornell BirdNET-Analyzer deep learning model — identifies 6,000+ species with high accuracy.
Native C# app
Built in C# on .NET 8 — fast, native Windows application with a clean desktop UI and no runtime dependencies.
Data logging
SQLite database stores every detection with timestamps, confidence scores, and species metadata. Export to CSV.
Built with
Changelog