Bird Identifier: Birdly
AI bird identification from a single photo
Project Overview
Birdly helps users identify bird species by uploading a photo, returning likely matches with a fast, simple experience designed for everyday birdwatching and curiosity.
Designed and built Birdly as a production iOS app using React Native, Expo, and TypeScript with Supabase for backend services, plus Supabase Edge Functions to orchestrate secure photo uploads and AI-powered bird identification workflows. The core flow takes a bird photo, analyzes visual characteristics, and returns likely species results in a clear, easy-to-understand format.
Localized the app in multiple languages, then shipped and optimized the App Store listing with multilingual metadata, screenshots, and ASO iterations, and launched a marketing site to support acquisition.
Key Achievements
Built an end-to-end bird photo identification flow from upload to species suggestions
Implemented AI-powered species detection focused on fast and clear results
Designed a simple user journey optimized for one-tap photo-based identification