← All work Birdseye · iOS App
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Birdseye
iOS App · In Development
A consumer iOS bird identification app built using Claude Code. Multi-modal AI — image recognition, sound analysis, and natural language description — with a conversational interface that guides users to a confident species match.
Case study coming with MVP launch
What it does
Three ways to identify any bird
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Image Recognition
Point your camera at a bird and the AI identifies the species from visual characteristics — plumage, size, shape, markings.
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Sound Analysis
Record a bird's call or song and the AI matches it against thousands of species-specific vocalizations.
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Natural Language
Describe what you saw in plain language. The AI asks follow-up questions about habitat, location, color, and behavior to narrow possibilities.
Why this project
Building what I want to see exist

Birdseye started as a way to explore Claude Code's capabilities beyond enterprise work — could I design and build a consumer AI experience entirely on my own, from scratch, targeting App Store release?

The multi-modal identification challenge is genuinely hard. Most bird ID apps rely on a single input method. Birdseye is designed around the reality that most bird sightings are incomplete — you caught a glimpse, heard a sound, or have a rough description but no photo. The conversational UX is the core design problem.

This is the project that shows I build AI experiences out of curiosity, not just because clients pay for them.