DDoS Attack Detection in Software Defined Network via Machine Learning Algorithms

Large amounts of user feedback is collected from various channels such as social media and app store reviews. It is difficult to analyze this amount of feedback manually.

The goal of this project is to cluster user feedback with their sentiments and common themes and messages using natural language processing and machine learning techniques.

Context and Motivation: Class diagrams are widely adopted by the software development industry to describe either the inner structure of an object-oriented software or to describe the concepts and the relations among them in a domain. Even though the learning curve of drawing class diagrams is quite flat, it still takes time and effort to build them.  User stories are used in agile software development to capture the needs and wishes of the users. They are widely available and easy to parse since they follow a template.

In this project we will build a system using Distributed Ledger Technology that enables Cross-Border e-Procurement.