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 37–48 of 65

Song Battle
Track 09GDG Brooklyn
Song Battle

Song Battle PK turns any artist, era, or musical mood into a fast head-to-head song tournament. Players watch YouTube performances, choose winners, and crown a champion—or generate an original song and synchronized AI music video from their own creative prompt.

the sound genertaing was way better than I thought

NYCity SOS
Track 09GDG Brooklyn
NYCity SOS

City SOS is a voice-first safety companion that helps people ask for assistance even when they can't speak openly. It starts as a normal NYC and campus resource assistant, then seamlessly switches into a natural cover conversation (like ordering pizza) while quietly gathering context. When the user confirms with a predefined trigger phrase, it discreetly alerts their pre-selected trusted contacts without interrupting the ongoing conversation.

The biggest surprise was how convincing the cover conversation felt. With Gemini Live and careful prompting, the assistant stayed completely in character while still collecting the context needed for a discreet alert.

GIGGLE HERTZ
Track 09GDG Brooklyn
GIGGLE HERTZ

Scan the QR code on your phone, warm up your laughter, and prepare for 10 seconds of pure crowd chaos!

I could build a complex multimodal fun game, easily and while bring communities together for laughter.

Handkerchief Duel
Track 09GDG Brooklyn
Handkerchief Duel

Developed a web-based strategic handkerchief game built on a 10-node number line and finite-state machine, implementing real-time two-player gameplay with Socket.io and AI opponents. The game features asymmetric roles—a Dropper strategically decides whether and where to drop the handkerchief, while a Guesser chooses whether to open their eyes to infer the drop, with damage determined by the handkerchief's placement and each player's decisions.

I was surprised by how capable AI Studio is—it generated most of the application with very little code from me. The only thing I missed was the ability to force or replay specific scenarios, which would make manual testing much easier.

Class Scheduler
Track 09GDG Brooklyn
Class Scheduler

My project can create a course schedule for students based on a course list it can draw from as well as an option for required and optional courses. It takes into account professor rating, how close together are the classes, and preferred days off giving multiple schedules with a score for each based on how the user weighted each factor.

What surprised me was how AI seemed to think ahead as it added features that alongside the ones, I suggested to make my suggestions work better.

ink2pix
Track 09GDG Brooklyn
ink2pix

Ink2Pix is an interactive creative canvas that transforms hand-drawn sketches into hyper-realistic 2K images and animated video clips in real time. Designed for visual storytellers, artists, and designers, it turns rough doodles into high-fidelity artwork using customizable style presets. The cool part? With a single click, Gemini Omni Flash animates your static artwork into dynamic 3D video scenes complete with synchronized ambient audio.

Gemini could handle some edge cases we didn't expect. We didn't expect such a great output for the prompt we gave.

contest_It
Track 09GDG Brooklyn
contest_It

Contest It is a civic AI tool that tells NYC residents whether they should fight or pay a city summons in seconds. Upload a photo of your ticket (or type the violation code), and Gemini Vision OCR extracts the charge, cross-references it against 421,000+ real OATH hearing outcomes, and shows your actual dismissal probability with a ready-to-submit defense brief. It's built for the everyday New Yorker who gets a $300 sidewalk ticket and has no idea that historically, 45% of those get thrown out

The biggest surprise was the data itself we found that for some of the most common NYC violations (noise, sidewalk snow, building maintenance), dismissal rates are shockingly high, yet almost nobody contests them because the process feels intimidating. The gap between "you'd probably win" and "people just pay" turned out to be the entire reason this project matters. On the technical side, we did

Gotham Intel
Track 09GDG Brooklyn
Gotham Intel

GothamIntel is an NYC sublet marketplace where seekers swipe and search for homes, and hosts manage listings, inquiries, and messages. Gemini powers vibe search (text, image, or voice), a listing chat assistant, and neighborhood intel; safety, noise, transit tips, and lease takes grounded in local listing data.

We were surprised how quickly we could build with AI Studio.

Voice Arena
Track 09GDG Brooklyn
Voice Arena

Where physical brawl meets vocal brawl! Voice Clash: Smash Arena is an innovative local 2-player platform fighter that transforms your voice into your ultimate weapon. Players maneuver using fluid keyboard controls while unleashing powerful elemental attacks and cinematic combos simply by shouting skill words into a single shared microphone — completely hands-free!

Gemini got the gist of the game in the first go, so I get to spend rest of the time making small adjustments such as card positioning and adding player camera.

Computer Madness
Track 09GDG on Campus New York University
Computer Madness

Computer Madness turns any song into a living 3D visualizer by actually understanding it — key, tempo, meter, and dynamics — instead of just reacting to volume. That musical structure drives a spinning sphere wrapped in video or a live FFT spectrogram, cutting and accelerating in lockstep with the beat grid. Optional AI lyric transcription overlays synced vocals directly onto the sphere. It's for musicians, VJs, and anyone who wants visuals that move with the music's structure, not just its peak

I was surprised at the ease with which I could prototype my ideas with AI studio. I could just bring the idea and it could find the relevant technologies and give me a good feel for how the idea would turn out without much friction.

SpecForge
Track 09GDG on Campus New York University
SpecForge

SpecForge turns a plain English product idea into a full layered system architecture. Type "AI-powered ATS" and it reasons out every layer from resume upload form to vector search to streaming response, with a numbered SVG flow diagram, a component card breakdown, and an animated step-by-step walkthrough showing exactly where each request goes. You can refine the architecture through a chat panel that diffs every change like a git log, save checkpoints, and attach PDFs or Word docs as context.

SpecForge turns a plain English product idea into a full layered system architecture. Type "AI-powered ATS" and it reasons out every layer from resume upload form to vector search to streaming response, with a numbered SVG flow diagram, a component card breakdown, and an animated step-by-step walkthrough showing exactly where each request goes. You can refine the architecture through a chat panel

MTA MetroPulse
Track 09GDG on Campus New York University
MTA MetroPulse

MTA MetroPulse is an event-driven dispatch engine that tracks subway workers and incidents deep underground where GPS doesn't reach. It ingests simulated telemetry via Apache Kafka, triages hazards in real-time using a PyTorch computer vision model, and relies on PostGIS to route the closest qualified personnel to intercept moving trains. It's built for transit operations teams who need to transform chaotic, high-velocity data streams into split-second, geospatial dispatch decisions.

I assumed the hardest part would be the real-time Kafka streaming, but it turned out to be the geospatial logic. Building the spatial fallback query—teaching the system to dynamically expand its PostGIS search radius when workers were too fatigued—was the "aha" moment where it's-working moment that brought the whole architecture to life.