Model Garden

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Google's Model Garden on Vertex AI: A Treasure Trove of ML Assets

Embark on your machine learning journey with a centralized platform to explore, uncover, and interact with an array of models from Google and its partners.

General
Release date	2023
Author	Google
Type	AI Model Repository

Start building with Model Garden on Vertex AI

We have collected the best Model Garden resources to help you get started with Google's Model Garden on Vertex AI today.

Model Garden on Vertex AI Links, Boilerplates & Libraries

Kickstart your development with a Model Garden-based boilerplate. Boilerplates are a great way to headstart when building your next project with Model Garden on Vertex AI.

Link to Awesome Model Garden boilerplate This Link will help you get started with Model Garden on Vertex AI. There are many boilerplates linked for each model
Model Garden Documentation

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Google Model Garden AI technology Hackathon projects

Discover innovative solutions crafted with Google Model Garden AI technology, developed by our community members during our engaging hackathons.

Revv OS Powered by AutoSight

Revv is an enterprise-grade B2B SaaS platform designed to modernize the automotive retail experience. Today, dealerships struggle with static car listings and high-friction sales cycles. Revv solves this by utilizing AutoSight, our proprietary, autonomous multi-agent engine, to transform raw vehicle data into high-fidelity, cinematic 3D digital twins in under two minutes. The AutoSight Engine: At the core of the platform is a deterministic pipeline orchestrated by Google Cloud Workflows. This serverless state machine coordinates seven specialized AI agents powered by Gemini 3 Pro and Flash. The process moves from Ingestion (verifying real-world awards via Google Search Grounding) to Director-level decision-making, where the AI chooses between 2D imagery or interactive 3D WebGL "Tech Views." Using Imagen 3 for cinematic backgrounds and Gemini’s spatial vision for hotspot localization, AutoSight creates a narrative that explains complex technical specs through emotion and immersion. A Sovereign Infrastructure: To ensure true data sovereignty for dealerships, Revv is built on a distributed Vultr architecture. We utilize three dedicated Vultr Cloud Compute instances to host our frontend, our AI backend, and a self-hosted Supabase environment (PostgreSQL + pgvector). Massive images assets and neural audio tracks are offloaded to Vultr Object Storage, providing a scalable, secure, and high-performance environment that bypasses the limitations of shared public clouds. The Conversational Edge: For buyers, Revv offers the AutoSight Live Agent. Powered by the Gemini Multimodal Live API, this provides a real-time, low-latency speech-to-speech assistant. Backed by a Multimodal RAG system using Vertex AI Embeddings, the agent can "see" and query uploaded PDF manuals, extracting facts from complex tables and images to provide grounded answers. Shoppers can even book test drives mid-conversation via native tool-calling, which instantly triggers an interactive booking widget.

GAIN - Growth and Investment Advisory Network

Our AI-driven investment advisor is an advanced platform that leverages artificial intelligence and machine learning to provide personalized investment insights and recommendations. By analyzing vast amounts of market data, financial trends, and individual risk profiles, the advisor delivers real-time, data-driven strategies tailored to your financial goals. Whether you're a seasoned investor or just starting, our AI ensures optimized portfolio management, identifies lucrative opportunities, and minimizes risks. Experience the future of investing with our intelligent, user-friendly advisor designed to help you achieve consistent and sustainable financial growth.

GAMAN Open Science Project Marketplace LLM

This project was inspired by our experiences in NASA Hackathon Space Apps Challenges 2023. We want to upgrade this project with Vertex AI & TruLens. Also, we aim to expand NASA Open Science project database into LLM. We want to create a marketplace for project creators (such as: enterprises, universities, government agencies, etc) to find contributors (such as: researchers, scientists, students, professionals, etc) who match with all skills & expertise required in the project. Also, we build a marketplace for contributors to find open science jobs. In this web app, we create open science project marketplace which has some features as follows: (1) NASA SEARCH ENGINE - AI CHATTING BOT (2) NASA SUGGESTION SYSTEM / RECOMMENDATION SYSTEM (3) NASA COMMUNICATION TOOLS. (4) TRULENS STREAMLIT TO EVALUATE LLM. With all those features, we are hoping that all interactions between project creators and contributor in any NASA Open Science Project will become more accessible, interactive, and fun. In addition, this web app will make NASA Open Data become easier to find and more organized. With all those features, we are hoping that all interactions between project creators and contributor in any NASA Open Science Project will become more accessible, interactive, and fun. In addition, this web app will make NASA Open Data become easier to find and more organized. Feel free to check the demo and presentation altogether in my Canva page https://www.canva.com/design/DAFwr3wcpwQ/-xoh8LLg3aWxmdwBYQrx5g/edit?utm_content=DAFwr3wcpwQ&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

SCREENVISION

The leading theory explaining the correlation between digital screen use and dry eye syndrome posits that screen use alters blinking dynamics, decreasing both blink rate and completeness, which in turn leads to increased dryness of the ocular surface. This understanding is drawn from our extensive analysis of various research papers exploring this relationship. Based on these findings, we have developed an application designed to run in the background and monitor your blinking habits. It counts the frequency of your blinks, assesses your tear production, and studies your blinking dynamics. If these metrics fall below healthy levels, the application will issue an alert accordingly.