GDG Coding Jams
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What the rooms shipped.

Real builds from real GDG chapters. Two hours, one pizza, one prototype. Filter by track or chapter — or scroll until something makes you want to fork it.

All builds

Showing 1–12 of 70

AI Voiceee
Track 01GDG Brooklyn
AI Voiceee

Vonage Interactive Onboarding Tutorials

I was able to talk to Bob Marley in Italian.

Vonage - Ezgi
Track 01GDG Brooklyn
Vonage - Ezgi

Add Leonardo AI phone agent workshop implementation

It was super fun to be able to change the voice, tone even accent and mood

VONAGE-AHSAN
Track 09GDG Brooklyn
VONAGE-AHSAN

An voice agent built on Flue framework with Vonage API for voice.

It was nice to develop it.

VONAGE-BARSHAT
Track 01GDG Brooklyn
VONAGE-BARSHAT

This project creates a telephone-based AI character that lets people call a Vonage phone number and speak with an AI acting as Leonardo da Vinci.

How easy it has become to mage AI agent with less code using frameworks. That does the heavy lifting

VONAGE-ADIL_SABIR_AZEEZ
Track 09GDG Brooklyn
VONAGE-ADIL_SABIR_AZEEZ

This project is a real-time voice agent that lets users dial a standard phone number to interact with a custom AI persona. Built for developers looking to integrate telephony with streaming LLM pipelines, it serves as a working boilerplate for handling bi-directional audio streams and system prompts. It's a quick way to see how standard voice APIs stack up against modern conversational AI without needing heavy infrastructure.

I expected setting up telephony WebSockets and call state management to require heavy boilerplate. Surprisingly, Vonage’s Flue framework abstracted away all that complexity out of the box, letting me spin up a fully functional AI voice agent in just a few lines of code.

APO-HAL-EMS
Track 09Michigan, USA
APO-HAL-EMS

APO-HAL-EMS (Agnotic Policy Optimizer / Hardware Abstraction Layer For Energy Management Systems) is an architectural framework and universal governance layer designed for critical infrastructure control systems and energy management systems. ​It provides deterministic validation of automated, AI-driven, and human operator decisions before actions are committed to physical hardware or control networks.

I thought I'd have to do more work by constantly correcting and re-checking that my prompts were being followed with accuracy throughout the build. Gemini was pretty solid and made the process so much smoother, creating much less work for me due to high precision and follow-through.

SensePath
Track 09GDG Brooklyn
SensePath

SensePath is a voice-first accessibility assistant designed for blind and low-vision users. It combines Gemini Live, multimodal vision, and Google Maps Platform to help people navigate the last few meters of a journey—finding entrances, benches, elevators, and understanding their surroundings through natural conversation. The standout feature is its ability to seamlessly switch between navigation, object finding, and immersive scene descriptions while keeping the interaction hands-free and acces

We expected navigation to be the hardest problem, but the real challenge was making AI know when not to speak. Designing an assistant that gives timely, concise guidance without overwhelming or distracting the user turned out to be just as important as the underlying AI itself.

HarmonicBlend
Track 09GDG Brooklyn
HarmonicBlend

HarmonicBlend is an AI-powered, browser-based DJ and stem mashup workstation that allows users to search any song on YouTube Music and turn it into a professional-grade remix in real time. The platform features dual interactive vinyl turntables, scrubbable waveform timelines, 3-band EQs, lowpass/highpass filter sweeps, crossfader controls, and an offline WAV exporter that lets users render and download their completed mixes directly to disk, as well as using Facebook's Demucs ML to create stems.

Using Gemini within Google Antigravity to build this project was a leap in autonomous, agentic software engineering. Its crazy how Antigravity reasoned across full-stack boundaries, making Python Flask backends, setting up PyTorch ML pipelines, and coding complex Web Audio API DSP frontend engines, something I would need months of training and understanding to build.

Stryker
Track 09GDG Brooklyn
Stryker

tracks body movement and converts to in-game punches, sends attacks to the firebase from two simultaneous users

need to use credits better

Drop
Track 09GDG Brooklyn
Drop

Drop is a mobile-first web app that turns New York City into a live board game where physical items like disposable cameras and toys drift from stranger to stranger. Built for urban explorers and romantic wanderers, the app lets you drop and pick up items and monitor a drop's entire journey across the city while staying completely anonymous.

Google AI Studio is a surprisingly friendly entry point for non-developers, proving that you don’t need a traditional coding background to bring a complex spatial and interactive idea to life.

nyu-ai-builder26nyc
Track 09GDG Brooklyn
nyu-ai-builder26nyc

Helps job seekers prep for interviews!

It added in suggestions to our build that we didn't even consider. It was a great addition!

Drift City
Track 09GDG Brooklyn
Drift City

Drift City is a community-driven web app that turns everyday urban spaces into an ongoing game of real-world object pass-along. Built for urban explorers, scavengers, and curious city dwellers, it tracks physical items—like a disposable camera or a rubber duck—as strangers move them from corner to corner across New York City. The cool part? You get to watch real-world human connections trace interactive, living vector paths across a digital map in real time.

Letting Gemini rephrase my prompts for AI Studio was helpful.