Google AI technology page Top Builders

Explore the top contributors showcasing the highest number of Google AI technology page app submissions within our community.

Google

A tech titan hailing from America, Google LLC excels in an array of internet-centric services and products. Encompassing search engines, online advertising, cloud solutions, software, and hardware, this renowned company emerged in 1998 under the visionary leadership of Larry Page and Sergey Brin. Today, Google stands tall among the world's most valuable entities and proudly shares the limelight in the Big Five American IT circle with Amazon, Apple, Meta (previously Facebook), and Microsoft.

General
CompanyGoogle LLC
FoundedSeptember 4, 1998
HeadquartersMountain View, California, U.S.
Parent CompanyAlphabet Inc.
Area servedWorldwide

Discover the capabilities of Google's Generative AI Studio, a managed environment that simplifies the integration and deployment of generative AI studio and foundation models for production.

Explore Google's Model Garden on Vertex AI, a comprehensive hub for exploring, interacting, and implementing a diverse array of AI models to accelerate your ML journey.

Experience the next-generation AI technology that is setting new standards in the field of artificial intelligence with PaLM 2, Google's groundbreaking large language model.

Meet Chirp, the revolutionary speech-to-text technology powered by Google AI, bringing unparalleled accuracy and language support to speech recognition services.

Transform texts into stunning visuals with Imagen, Google's AI marvel that sets a new benchmark in the realm of text-to-image diffusion models.

And revolutionize software development with Codey, the AI-powered coding assistant developed by Google AI, designed to transform software development with its advanced code generation capabilities across various programming languages.

Discover each of these remarkable technologies and learn how they can elevate your projects and capabilities.

Key Products and Services

Google offers a wide range of products and services that cater to various user needs. Some of their key products and services include:

A popular search engine that allows users to find information, websites, images, videos, and news on the World Wide Web.

Google Cloud Platform

A suite of cloud computing services, including computing, storage, networking, big data, machine learning, and Internet of Things (IoT), offering businesses an infrastructure for building, deploying, and scaling applications.

Products, Solutions, and Services

AI for Data Scientists

Vertex AI

Our new unified machine learning platform will help you build, deploy and scale more effective AI models.

  • Accelerating data preparation
  • Scaling data
  • Training and experimentation
  • Model deployment

Vertex AI Workbench

The single development environment for the entire data science workflow.

  • Rapid prototyping and model development
  • Developing and deploying AI solutions on Vertex AI with minimal transition

AI for Developers

AutoML

Train high-quality custom machine learning models with minimal effort and machine learning expertise.

  • Building custom machine learning models in minutes
  • Training models specific to your business needs

Cloud Natural Language

Derive insights from unstructured text using Google machine learning.

  • Applying natural language understanding to apps with the Natural Language API
  • Training your open ML models to classify, extract, and detect sentiment

Dialogflow

Create conversational experiences across devices and platforms.

  • Creating natural interaction for complex multi-turn conversations
  • Building and deploying advanced agents quickly
  • Building enterprise-grade scalability

Media Translation (Beta)

Add real-time audio translation to your content and applications.

  • Delivering real-time speech translation directly from your audio data
  • Scaling quickly with straightforward internationalization

Speech-to-Text

Accurately convert speech into text using an API powered by Google's AI technologies.

  • Creating automatic speech recognition
  • Transcribing in real time
  • Empowering Google Contact Center AI

Text-to-Speech

Convert text into natural-sounding speech using an API powered by Google's AI technologies.

  • Improving customer interactions
  • Engaging users with voice user interface in devices and applications
  • Personalizing communication

Timeseries Insights API (Preview)

Large-scale time series forecasting and anomaly detection in real time.

  • Gathering insights in real time from time series datasets
  • Detecting anomalies while they are happening
  • Handling large scale datasets and running thousands of queries per second

Translation AI

Make your content and apps multilingual with fast, dynamic machine translation.

  • Delivering seamless user experience with real-time translation
  • Engaging your audience with compelling localization of your content
  • Reaching global markets through internationalization of your products

Video AI

Enable powerful content discovery and engaging video experiences.

  • Extracting rich metadata at the video, shot, or frame level
  • Creating your own custom entity labels with AutoML Video Intelligence

Vision AI

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision AI models to detect objects and emotions, understand text.

  • Using ML to understand images with industry-leading prediction accuracy
  • Training ML models to classify images by custom labels using AutoML Vision

AI Infrastructure

Deep Learning Containers

Preconfigured and optimized containers for deep learning environments.

  • Prototyping your AI applications in a portable and consistent environment

Deep Learning VM Image

Preconfigured VMs for deep learning applications.

  • Accelerating your model training and deployment

GPUs

High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization.

  • Speeding up compute jobs like machine learning and HPC
  • Accelerating specific workloads on your VMs

TensorFlow Enterprise

Reliability and performance for AI applications with enterprise-grade support and managed services.

  • Boosting enterprise development with long-term support on specific distributions
  • Scaling resources across CPUs, GPUs, and Cloud TPUs
  • Developing and deploying TensorFlow across managed services

TPUs

Train and run machine learning models faster than ever before.

  • Running cutting-edge machine learning models with AI services on Google Cloud
  • Iterating quickly and frequently on machine learning solutions
  • Building your own ML-powered solutions for real-world use cases

Document AI

Document AI solutions suite includes pre-trained models for data extraction, Document AI Workbench to create new custom models or uptrain existing ones, and Document AI Warehouse to search and store documents.

  • Manage the entire unstructured document lifecycle in one unified solution
  • Accelerate deployment, reduce manual document processing, and setup costs
  • Gain new insights about your products and meet customer expectations

An online advertising platform that enables businesses to create and display ads on Google's search results pages, partner websites, and mobile applications.

Google Drive

A cloud storage service that allows users to store and share files, collaborate on documents, and access their data from any device.

Google Workspace

A suite of productivity and collaboration tools, including Gmail, Google Calendar, Google Drive, Docs, Sheets, Slides, and others, designed for businesses, educational institutions, and other organizations.

Google Maps

A mapping service that provides detailed maps, satellite imagery, street views, and real-time traffic information, allowing users to explore locations and find directions.

Google Assistant

An artificial intelligence-powered virtual assistant that helps users perform tasks, control smart devices, and access information using voice commands or text.

YouTube

A video-sharing platform that allows users to upload, view, rate, share, and comment on videos, as well as subscribe to channels and access various media content.

Android

A mobile operating system developed by Google, designed primarily for touchscreen devices such as smartphones and tablets.

Google AI technology page Hackathon projects

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

Agentic SDLC

Agentic SDLC

We designed four agents to automate the SDLC. These were: Requirements Agent: Understand requirements from requirements doc Design Agent: Create high level design doc Software Development Agent: Generate codebase to build PoC (small project) Code Test Agent: Generate code tests The workflow steps we followed were as follows: a. Requirements Gathering Task: Extract key requirements from a document. Goal: Create a concise summary of the CRM system's required features. Outcome: Defines the project scope (authentication, CRUD operations, task management, reporting). b. High-Level System Design Task: Design the architecture of the CRM system. Diagrams Generated: Use Case Diagram Class Diagram Entity-Relationship Diagram (ERD) UI Design for Dashboard Outcome: A document detailing the architecture, components, and visual diagrams of the system. c. Code Generation Task: Develop the Code for the system. Goal: Create functional code that implements core features. Outcome: Working code implementing authentication, database operations, and reporting. d. Code Testing Task: Run test cases to verify code functionality. Goal: Ensure the system meets the requirements and works as expected. Outcome: A detailed test report highlighting results and potential issues. Future Work could include: Improvements in Design Diagrams: Explore more AI-driven tools for automated generation of detailed design diagrams. Customization: Enable more advanced configurations for tasks such as adding new agents or expanding CRM functionality. Deployment: Plan for deployment of the final CRM system in a production environment. We also considered building an agentic workflow for MLOps, but ultimately decided on the SDLC.

HospiGent

HospiGent

HospiGent is an AI-powered system that automates hospital workflows, streamlining patient appointment management, staff coordination, and assisting doctors with detailed patient insights through intelligent chat agents. Hospitals urgently need AI agents to support patients, doctors, and administrative staff. Staffs spend excessive time on repetitive tasks like managing appointments and answering queries. Handling 50-60 daily calls for bookings, rescheduling, and cancellations is overwhelming. If a doctor becomes unavailable or patients need follow-ups, staff must call again, adding stress. Patients find it equally frustrating. Many don’t know which specialization is needed for their issue—like needing a cardiologist for heart problems. Even if they know the specialization, they struggle to find which doctor is available and when. This forces them to contact staff for availability, leading to delays. Doctors also lack an efficient way to gather patient insights before consultations, leaving them under-prepared and lowering care quality. HospiGent’s agents assist patients, doctors, and staff. The Patient Agent lets patients book, reschedule, or cancel appointments via chat and provides expert answers to health queries and medical reports. The Doctor’s Agent generates detailed analysis reports for each patient by reviewing test results, medical histories, and relevant data, helping doctors make informed decisions. The Staff Agent handles administrative tasks like notifying patients of updates, managing appointment deferrals, and keeping staff informed about daily schedules and changes.