To answer the demand for an accessible platform for benchmarking DNN adversarial attack algorithms, we present Deep Pen, a scalable and robust cloud-based web application capable of executing adversarial attack algorithms against a large collection of neural network models. Deep Pen offers detailed statistics and provides users with insights on the speed, accuracy, and robustness of their algorithms against models varying in sizes and architecture. The built-in code editor combined with sandboxed cloud execution creates a hassle-free and intuitive overall user experience.

Online learning is becoming an increasingly accepted format, however the classrooms often become unoptimized and isolated discord/messenger groups - or doesn’t exist. Mimir aims to create a better e-learning experience by establishing a crowd sourced data distribution platform dedicated to e-learning and a known space for students. Joining a new class or discussing topics online can now be a centralized process.

Lawn care often comes with a variety of unwanted impacts such as time, money, and noise, Our Teams goal is to alleviate all these problems with a single product - Lawny. Lawny is a lawn mower that is autonomous (time saving), long lasting (money saver) and electric (low on noise). With the use of sensor data, computer vision tools, algorithms, and powerful motors Lawny can cut your lawn all by itself. Feel free to let Lawny roam free while you focus on more important things.

Binder is an online e-learning platform where students can join and share their ideas, partake in meetings, enter study rooms, set up common calendars, and more. It will feature an innovative networking system that can match up students with similar academic interests, which may be used to find teammates and form social groups. Binder will promote student interaction after a long period of social distancing and assist students' growth with each others' support.