Categories: FAANG

The Agent Development Kit Hackathon with Google Cloud: Announcing the winners and highlights

The Agent Development Kit (ADK) Hackathon is officially wrapped. The hackathon wrapped up with over 10,400 participants from 62 countries, resulting in 477 submitted projects and over 1,500 agents built! Building on the excitement from our initial announcement, the hackathon proved to be an invaluable opportunity for developers to experiment with cutting-edge technologies and build the next generation of agents. 

The hackathon focused on designing and orchestrating interactions between multiple agents using ADK to tackle complex tasks like automating processes, analyzing data, improving customer service, and generating content. 

Now, let’s give a massive round of applause to our outstanding winners. These teams demonstrated exceptional skill, ingenuity, and a deep understanding of ADK. 

Grand Prize

SalesShortcut
By Merdan Durdyyev and Sergazy Nurbavliyev
SalesShortcut is a comprehensive AI-powered Sales Development Representative (SDR) system built with multi-agent architecture for automated lead generation, research, proposal generation, and outreach.

North America regional winner

Energy Agent AI
By David Babu
Energy Agent AI is a multi-agent AI transforming energy customer management through Google ADK orchestration.

Latin America regional winner

Edu.AI – Multi-Agent Educational System for Brazil
By Giovanna Moeller
Edu.AI democratizes Brazil’s education with autonomous AI agents that evaluate essays, generate personalized study plans, and create interdisciplinary mock exams, all in one intelligent system.

Asia Pacific regional winner

GreenOps
By Aishwarya Nathani and Nikhil Mankani
GreenOps automates sustainability as an AI team that continuously audits, forecasts, and optimizes cloud infrastructure.

Europe, Middle East, Africa regional winner

Nexora-AI
By Matthias Meierlohr, Luca Bozzetti, Erliassystems, and Markus Huber
Nexora is next-gen personalized education. Learn through interactive lessons with visuals, quizzes, and smart AI support.

Honorable mention #1

Particle Physics Agent
By ZX Jin and Tianyu Zhang
Particle Physics Agent is an AI agent that converts natural language into validated Feynman diagrams, using real physical laws and high-fidelity data — bridging theory, automation, and symbolic reasoning.

Honorable mention #2

TradeSageAI
By Suds Kumar
TradeSage AI is an intelligent multi-agent financial analysis platform built using ADK, Agent Engine, Cloud Run and Vertex AI, that revolutionizes trading hypothesis evaluation.

Honorable mention #3

Bleach
By Vivek Shukla
Bleach is a Visual AI agent builder built using Google ADK that describes agents in plain English, designs visually, and tests instantly.

Inspired by the ADK Hackathon?

Learn more about ADK and continue the conversation in the Google Developer Program forums.

Ready for the next hackathon?

Google Kubernetes Engine (GKE) is turning 10, and we’re celebrating with a hackathon! Join us to build powerful AI agents that interact with microservice applications using Google Kubernetes Engine and Google AI models. Compete for over $50,000 in prizes and demonstrate the power of building agentic AI on GKE.

Submissions are open from Aug 18, 2025 to Sept, 22 2025. Learn more and register at our hackathon homepage.

AI Generated Robotic Content

Recent Posts

Anima – Sharing Some Prompts and Results

Been experimenting with Anima lately and ended up spending way too much time refining prompts.…

8 hours ago

Keychron K2 HE Concrete Edition Review: Rock-Solid Typing

Keychron's K2 HE Concrete Edition sounds like a cute gimmick, but as I discovered, there's…

9 hours ago

AI generates full battery electrolyte recipes, matching top lithium metal battery performance

Battery electrolytes aren't just one chemical, but a complex mixture of salts, solvents, and additives…

9 hours ago

Nava – A 6.3B audio-video model .

Page: https://ernie-research.github.io/NAVA/ Model: https://huggingface.co/ernie-research/NAVA Github: https://github.com/ernie-research/NAVA NAVA is a 6.3 B-parameter joint audio-video generator that…

1 day ago

Enterprise Business Software and the Mixed-Up Chameleon Problem

Editor’s Note: This blog post was written by Greg Little, Senior Counselor at Palantir, with…

1 day ago

High-Throughput Graph Abstraction at Netflix: Part I

By Oleksii Tkachuk, Kartik Sathyanarayanan, Rajiv ShringiIntroductionNetflix has a diverse range of graph use cases, each…

1 day ago