A multi-chapter regional initiative uniting chapters around annually rotating societal challenges to build solutions with Google's applied AI ecosystem.
The GDG AI for Good initiative is a multi-chapter regional program across the Google Developer Groups in North America. Rather than running disconnected, one-off hackathons, the initiative unites chapters around an annually rotating societal challenge (such as environmental resilience, digital accessibility, public health informatics, or workforce readiness).
Local chapters host hacking sprints during the Fall period, where developers, designers, students, and domain experts collaborate to build solutions for community-validated problems using Google’s applied AI ecosystem.
Raise awareness of societal challenges and educate the public on the latest AI tools.
Provide a concrete on-ramp for participants to master agent frameworks within AI in an applied, ethical problem space.
Establish a shared evaluation baseline across chapters, fostering cross-chapter collaboration, talent discovery, and measurable impact tracking.
Builds a direct bridge between local non-profits, municipal agencies, and GDG talent, delivering actionable open-source repositories to underserved community partners.
Connects collegiate tech enthusiasts, career switchers, and senior engineers across urban and suburban tech corridors, showcasing regional talent to industry sponsors and ecosystem partners.
This proposed 4-pillar rubric serves as the master scoring guidelines across all chapters and annual iterations to guarantee cross-regional parity.
| Pillar | Weight | Core Focus | Scoring Criteria |
|---|---|---|---|
| 1. Problem Validation & Social Impact | 25 Pts | Depth of community relevance, beneficiary focus, and quantifiable real-world value. |
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| 2. Technical Innovation & AI Architecture | 25 Pts | Rigor, elegance, and utility of the underlying solution. |
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| 3. Responsible AI, Ethics & Accessibility | 25 Pts | Safety, equity, bias prevention, transparency, and inclusive design principles. |
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| 4. Feasibility, Scalability & Sustainability | 25 Pts | Viability of handoff, operational cost management, and long-term ecosystem maintenance. |
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Participants retain 100% ownership of all software, models, and intellectual property created during the event; neither Google Developer Groups (GDG), Google LLC, nor host institutions claim any equity or commercial rights in your work. To ensure community and non-profit partners can deploy, maintain, and scale these civic solutions without legal barriers or licensing friction, all builds submitted to the GDG AI for Good track must be released publicly under the Apache License 2.0, with accompanying project documentation and synthetic evaluation datasets shared under Creative Commons (CC-BY 4.0 or CC0).
By submitting to codingjam.dev, teams warrant that their build is original work, free of unauthorized third-party or employer-owned proprietary trade secrets, contains no unscrubbed personally identifiable information (PII), and adheres strictly to upstream AI foundation model terms of service. Entrants grant GDG and local organizing chapters a non-exclusive, perpetual, royalty-free license solely to index, demonstrate, screenshot, and publicize the project across regional leaderboards, promotional media, and DevFest showcases.
Neither is the beginner option. It comes down to what's already on your laptop, and whether you want a desktop IDE at all. Four questions, then bring the one that fits.
Already know which one you want?
Grab a name tag and a slice, say hello to the instructor, and meet the people either side of you — you'll be asking them things later, so it pays to know their names now. Low pressure, high creativity, ship something messy. Then a quick word on what the room is building tonight, and you're off.
The instructor shares the Google Cloud credits with the room. Everyone gets their environment ready — whichever tool they brought. Nobody should be installing anything once the build starts.
Heads down, and enjoy it — this is the part everyone came for. The agent does the typing; you decide what it's making. Ask the room when you get stuck; someone two seats away hit the same wall ten minutes ago. Want more structure? The codelab walks the spec-driven route — Setup → Plan → Review → Build → API → Verify — but nobody has to follow it.
Show the room what you made — two minutes, screen-shared from your seat. Half-finished is welcome; the wobbly ones are usually the most interesting. Say what surprised you along the way, and cheer for everyone else while you're at it. Then submit your build before you leave. This is the one thing not to skip — it's what puts your name and your chapter on the showcase, and it takes about two minutes.
Es una aplicacion de traduccion de lenguaje de señas a voz poensado para el uso en la escuela para la integracion de alumno a carreras universitarias de ingenieria.
“La velicidad de creacion de antigrabity del proyecto”
¿Dónde lo reciclo? CDMX" es un mapa de una sola pantalla para quienes viven en la Ciudad de México. Eliges un material, como PET, aceite de cocina usado, pilas, electrónicos o Tetra Pak, y ves al instante los puntos de acopio más cercanos, ordenados por distancia. Es para quien quiere reciclar pero nunca sabe dónde llevar lo difícil. Lo mejor: los puntos vienen de datos abiertos de OpenStreetMap
“¿Dónde lo reciclo? CDMX" es un mapa de una sola pantalla para quienes viven en la Ciudad de México. Eliges un material, como PET, aceite de cocina usado, pilas, electrónicos o Tetra Pak, y ves al instante los puntos de acopio más cercanos, ordenados por distancia. Es para quien quiere reciclar pero nunca sabe dónde llevar lo difícil. Lo mejor: los puntos vienen de datos abiertos de OpenStreetMap”
Compartir ruta para correr
“La rapides de generaciòn”
URBAN FOREST: inteligencia de reforestación satelital. Vamos a crear un sistema de inteligencia artificial que use una api abierta satélite y ia generativa , para crear planos urbanos generados con ia para incentivar la reforestación urbano, entrenado con bases de datos de especies nativas y árboles que no destruyan el concreto, planificando la reforestación generando planos de propuestas de reforestación urbana .
“URBAN FOREST: inteligencia de reforestación satelital. Vamos a crear un sistema de inteligencia artificial que use una api abierta satélite y ia generativa , para crear planos urbanos generados con ia para incentivar la reforestación urbano, entrenado con bases de datos de especies nativas y árboles que no destruyan el concreto, planificando la reforestación generando planos de propuestas de re”
MaestroPro es un asistente móvil que empodera a trabajadores de oficios en México (plomeros, electricistas, albañiles). Con solo tomar una foto y grabar una nota de voz informal, Google Gemini calcula materiales a precios reales en México ($MXN), define mano de obra justa y genera al instante una cotización formal en PDF lista para compartir por WhatsApp con garantía por escrito.
“Antigravity is super powerfull”
App multimodal de resiliencia ambiental para la CDMX. Analiza fotos de riesgos urbanos (fugas, árboles o residuos) mediante 3 agentes con Gemini para evaluar urgencia, redactar oficios para autoridades (SACMEX/SUAC) y dar protocolos accesibles WCAG.
“Me sorprendió cómo una sola llamada multimodal a Gemini Flash con JSON estructurado puede orquestar 3 micro-agentes simultáneos: diagnosticando riesgos visuales y redactando oficios formales al instante.”
Pregunta MX answers questions about Mexican government procedures in plain Spanish, using only official sources. You describe your situation in your own words. A Google ADK agent pipeline then searches federal, Mexico City and justice sites in parallel with Gemini and writes back the steps, documents, places and costs, with every fact linked to a gob.mx source. Safety rules are enforced in code: the model never writes a URL, anything without an official source is dropped, off-topic questions are
“It worls really well for accesibility”
En Ciudad de México, millones de personas pasan horas en el transporte público, enfrentando saturación, estrés y agotamiento todos los días. VAGÓN nace para hacer esos trayectos un poquito más ligeros. Es una app de bienestar emocional y comunidad que ofrece actividades breves para reducir el estrés, conectar con otros pasajeros y compartir experiencias. Porque quizá no podemos cambiar el transporte de un día para otro, pero sí podemos cambiar cómo nos sentimos durante el camino.
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“Lo rapido que genero toda la app en adroid”
Automatizar la canalización de los reportes ciudadanos en áreas prioritarias hacia las dependencias y los niveles de gobierno responsables, reduciendo la fricción.
“Algunos reportes pueden indicar más de un problema (p.e. un bache y una fuga), y hay que afinar las instrucciones al modelo.”
Every year, thousands of dogs get lost in Mexico. Their owners post pictures on social media, people share reports across different groups, and shelters struggle to find adopters for the dogs nobody claims. The problem is simple: the information is scattered, and the dogs are the ones paying the price. That’s why we built Huellita.
“I like the preview view for the app”
Calcula la huella de carbono y lanzas retos de reducción
“Que construye rápido con un par de prompts”
Put it on the showcase. It takes two minutes, half-finished is welcome, and your build is credited to this jam automatically.
