A recipe management and grocery list generator app created using Jinja Templating (HTML), Javascript, Bootstrap, Flask (Python), and MariaDB hosted on a Google Cloud VM instance.
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Mar 12, 2020 - HTML
Google Cloud Platform, offered by Google, is a suite of cloud computing services. It provides Infrastructure as a Service, Platform as a Service, and serverless computing environments. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.
A recipe management and grocery list generator app created using Jinja Templating (HTML), Javascript, Bootstrap, Flask (Python), and MariaDB hosted on a Google Cloud VM instance.
Google Cloud Ready Facilitator Program 2022 Leaderboard and Progress Tracker 👇🏻.
Count the number of times a word occurs in 1GB (Big Data) Dataset of books using hadoop map-reduce
Pet project to store data about your car maintenance
Discord bot personal project for watching counting channel
Moodle Google Cloud Storage
Deploy Near Real Time Auto Remediation for your Google Cloud Organization and Projects
Using Qdrant, Fastembed, Google Cloud, OpenAI to build a Question Answer Cloud Based RAG System
Mini Cloud CLI is a command-line interface tool designed to simplify the management of cloud services across multiple providers. With Mini Cloud CLI, you can interact with various cloud platforms such as AWS, Azure, and Google Cloud directly from your terminal, without the need for complex graphical interfaces or multiple login sessions.
Rapid reporting and alert system driven by user reports of natural disasters. Placed top 10 in Resiliency track at PennApps 2018
A basic template of a RESTful project using Jersey, Spring, Spring Data JPA and Hibernate. The project is a Google App Engine standard project developed in Eclipse EE. You can easily deploy it in your Google Cloud App Engine.
Biometric login, ML Art Result, NFC Keypass, new HR application
A Trello inspired kanban application done with the Angular JS framework. Includes features such as drag-and-drop and user authentication through Firebase, SSR, prerendering and SEO. (COMPLETED)
This repository contains a curated collection of notes and resources I've compiled while studying/following Google's Machine Learning Engineer Learning Path which is helpful in order to prepare for the Google Cloud Machine Learning Engineer certification exam.
Para consultas sobre Cloud Logging + Python
Exercícios e Anotações de SQL
API for checking the safety of content (links and text) vis-a-vis violence, adult, profanity etc
Released April 7, 2008