This is a MERN stack TodoApp full-stack web application. The backend is deployed on AWS Elastic Beanstalk, and the frontend is deployed on Netlify.

Source code for the course: Deploy Spring Boot 3 Java Apps Online to Amazon Cloud (AWS)

This is a MERN stack TodoApp full-stack web application. The backend is deployed on AWS Elastic Beanstalk, and the frontend is deployed on Netlify.

This repository is a Node.js application built with NestJS, a powerful framework for building scalable and efficient server-side applications. It utilizes various technologies to ensure performance, reliability, and ease of deployment.

Blog Website using Python with Django framework and Postgres, as well as AWS services like Elastic beanstalk, S3, EC2 and rds.

The expense tracker application is developed using React.js for the frontend and Node.js for the backend. It aims to provide users with a platform to manage their expenses effectively. Hosted on an Amazon EC2 instance and utilizing Amazon Aurora MySQL.

DRAN Stack Capstone Project

This is the Animals and Nature website. This is a message board where one can engage in discussions regarding animals and nature.

Extensions to the dotnet CLI to simplify the process of building and publishing .NET Core applications to AWS services

Intro to CI/CD 💻 ☁️

Please change Site-Setting /Permission/Insecure Content to "Allow" as I have used unpaid AWS electric beanstalk

SubtitleBuddy is AWS cloud-based web application that takes video as input, automatically detects multiple languages used and sends subtitle file in email. Project made during the course CSCI 5409 Advanced Topics in Cloud Computing - Winter 2024 at Dalhousie University.

Sample Spring Framework Application

Sample Jakarta EE Application

Code for Hands-on CI/CD for Spring Boot applications using GitHub Actions and AWS Tutorial

O objetivo do projeto é fornecer um sistema no qual os usuários possam abrir chamados e serem atendidos por um técnico com mudanças de status do chamado sendo enviadas por e-mail, informando o cliente sobre a aceitação e conclusão.

Project made to warehouse of medical equipment. User can go by all containers in warehouse, create new containers and add equipment into containers. Project includes also pre-created list of equipment of different types of bags. Working project is available on AWS service.

End-to-end ML project to predict the presence or absence of heart disease in individuals

UpyExplorer - Application

Highly Available Django Application deployed using AWS Elastic Beanstalk, EC2, RDS, S3 Bucket and Route53