Execute tasks and orchestrate workflows across Google Cloud Platform services
YASmini: Yet Another Shop Mini, a sample Springboot project in Java
🎯 AI-powered Android hotel management system featuring real-time order processing and dual-mode (text/voice) AI assistants via Vertex AI. Includes user & admin apps built with Java and Firebase for seamless backend integration.
Gemini Function Calling in Vertex AI. Designed using Java 21, Spring Boot, and LangChain4J, this cutting-edge service integrates Gemini Call Function with external APIs to deliver seamless search capabilities for flights, hotels, and attractions
Software designed to summarise the content of Youtube video within few seconds
AI-powered healthcare platform built with Spring Boot microservices for patient management, risk assessment, and clinical decision support
AI-Assisted Support Ticket Routing Platform
App to compare mercadolibre products, with microservices architecture, Spring cloud and integration with Vertex AI from Google cloud.
BananaGPT is a computer vision application that checks for ripeness of bananas using google's vertex ai multi modal embeddings, built using android
AI-powered multimodal brand extraction API using OCR, computer vision and Vertex AI to extract structured brand assets from websites and images
AEM translation connector using Google TranslateGemma model via Vertex AI
AI-powered MLB dashboard with Google Cloud AI (Gemini), Google Calendar integration, and real-time MLB stats.
Movie Mood Matcher: A cloud-native AI agent using Gemini for NLP-driven movie recommendations and fixed-logic routing. Powered by Google ADK and Vertex AI.
Spring Shell CLI
A web application for selling electronic devices
Este repositório tem como objetivo demonstrar a utilização do langchain4j para a construção de aplicações de chat com uso de LLMs (Large Language Models) comerciais em conjunto com a técnica RAG (Retrieval Augmented Generation)
Football data management on Spring Boot with secure JWT, PostgreSQL, RESTful APIs, SonarQube quality checks, and easy Docker deployment.
🚀 Build and deploy intelligent agents with the Agent Starter Pack, featuring simple templates and robust documentation for quick setup and integration.
Add a description, image, and links to the vertex-ai topic page so that developers can more easily learn about it.
To associate your repository with the vertex-ai topic, visit your repo's landing page and select "manage topics."