Exploring machine learning techniques to detect advanced DDoS attacks from IoT devices that mimic benign traffic, introducing correlation-aware architectures and comparing centralized versus distributed detection methods. 
This project created a user-friendly web platform to highlight food security risks using a graph database and interactive visual tools. It offers dynamic maps and a searchable 3D word cloud to make information easily accessible and engaging for the public. 
In the following project, we will find an efficient convolution neural network to identify whether a house was damaged using the satellite imagery as well as the best way to improve it’s appearance. 