This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN

Demo: https://assamese-num-recog.azurewebsites.net/

Web app and database to manage incoming data stream from landslide monitoring device and allow a user to interact with the data. This code was written as part of a Masters Engineering project at the University of Strathclyde.

HHA504 / Cloud Computing / Final Project

A really bare bones Flask application ready to be deployed on an Azure Web App.

Deploying Flask Application on Azure Web Apps

https://github.com/pratikmandge/Machine-Design-Web-Application

MLOps with MLflow, Azure ML, Azure Container Registry, Azure Web Apps and GitHub Actions.

Future Ready Talent Project

Azure の scim2 + web app で Django へログインする

A generic practice to build and deploy an end to end python web app on AWS, Azure w/o docker image.

Project 2 submission for the Udacity nanodegree course "Cloud DevOps using Microsoft Azure". It shall demonstrate knowledge of CI/CD techniques acquired in the course.

this azure app uses mashine learning to find a website you are looking for with just a prompt

Azure Development Course Midterm

A multi-functional Telegram Bot for SUTD Class 19F07 Telegram Group's purposes.

Packop Flask server for mobile app

Django App to Generate Passwords

This is the final project created for the Microsoft Future Ready Talent Virtual Internship, offers a sentiment analysis web app for famous quotes. Utilizing Azure App Service, Azure SQL Database, and Azure AI Service, it provides seamless user interactions and sentiment evaluations and quote summarization.