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Application merges WebGL technology with Three.js for 3D rendering and Azure ML for AI chat functionalities, empowers users to interact with realistic 3D models that demonstrate step-by-step procedures. The goal is to provide intuitive visual aids that simplify the setup process reduce user errors, and enhance overall user satisfaction 👾
An end-to-end data engineering pipeline that fetches data from the BingAPI, cleans and transforms it with Azure Databricks.Sentiment Analysis is performed in AzureML and the data is visualized using Tableau.
This repository contains the Request for Comments (RFC) document for the GenAiGraphics. This project aims to enhance user experience by providing an innovative solution that combines advanced 3D graphics rendering and AI-driven interactions to guide users through complex technology setups.
Project made during DIO's "Microsoft Azure AI Fundamentals" Bootcamp, under the section "Reconhecimento Facial e transformação de imagens em Dados no Azure ML"