Dawn Chorus: An Offline Bird-Call Bingo Built on BirdNET and Gemma (hacktoberfest week 1 dev challenge)

A developer built Dawn Chorus, an offline bird-call bingo app that pairs BirdNET's acoustic species detection with a locally run Gemma 3 4B model via Ollama to generate field-journal entries. In a 30-minute test walk, BirdNET identified 10 species, including 5 of the 12 bingo targets, while the developer confirmed Myna, House Crow and Rock Pigeon by ear, with only 2 minutes of screen time. The project was submitted to the Hacktoberfest Open-Source AI Challenge Week 1, and the developer notes BirdNET's non-commercial weights are the component a closed API could not replace offline.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass https://dev.to/challenges/hacktoberfest-week1-2026-10-05 Dawn Chorus is a listening-walk bird bingo that runs entirely on my laptop. The screen is the shortest part of the experience. A "Grass Ratio" card compares the minutes I spent outside with the seconds I spent on screen. It's for anyone curious about the sounds around them, including places with no signal. Real test: I walked 30 minutes on DATE. BirdNET found 10 species, including 5 of the 12 bingo birds, and I confirmed Myna, House Crow, Rock Pigeon myself. Screen time: 2 minutes. A short captioned walkthrough: the bingo card, airplane mode, the walk with the screen dark, then the results. Put your phone away. Listen to the morning. Dawn Chorus is a listening-walk bird bingo that runs entirely on your own laptop. You get a checklist of the birds likely to be near you this week, you go for a walk with your phone recording in your pocket and the screen off, and when you get back an open-source model tells you who was singing. A local language model then writes you a short field-journal page about the walk. Built for the Hacktoberfest Open-Source AI Challenge, Week 1: "Touch Grass" https://dev.to/challenges/hacktoberfest-week1-2026-10-05 . The idea: the screen should be the shortest part of the experience. The story, real walk results and demo video are in the DEV post: Dawn Chorus on DEV https://dev.to/ Two lessons shaped the design: One caveat: Gemma is replaceable by almost any small local model. BirdNET is the part a general closed API couldn't replace offline. Its weights are also non-commercial. I planned the project with Claude and built it with Antigravity, testing each round myself and sending back what failed. OPTIONAL: paste your DevRelay session link, or delete this section Best Use of Gemma: Gemma 3 4B runs locally through Ollama and writes the field journal, fully offline, with a check that keeps its output honest.