TooLegalDidntRead

May 2020

TooLegalDidntRead is a transformative and groundbreaking app to solve the growing problem of long and complex legally binding documents by using NLP and keyword extraction to create a shortened version of a legal document that outlines your rights, as well as your legal limitations. This makes sure the company can not make you agree to anything you didn’t want to agree to. The software also analyzes US Federal law, Case Law, and State law to find relevant law that applies to your terms of service

SupplySmart

April 2020

Deep learning natural language processing based supply and demand analysis and prediction of essential items displayed on a personalized and intuitive web application

InfernoAI

October 2019

Machine Learning wildfire prediction platform that leverages NASA Satellite data and humidity data to predict possible future wildfires. The software allows users to monitor locations and alerts the user when there is a high risk of a wildfire.

InsightAI

September 2019

Deep learning live object and depth recognition with binaural AR audio spatialization and text-to-speech to help the visually impaired see the world with sound using only a smartphone and headphones

News451

March 2019

News 451 is a minimalistic web application that allows users to see the recent news without clutter or ads. Users can gauge reliability and bias of their news using a custom trained machine learning model.

Rocket Launch App

October 2018

Rocket Launch is an intuitive web application that allows the user plan seeing rocket launches. The software displays future rocket launch data, international launch sites, and atmospheric conditions.

SkyStone

2019-20

In SkyStone, the goal of the game is to deliver rectangular prism stones from a depot area into a foundation area. At the foundation the Robot must stack the stones as high as it can and at the end of the match the Robot must move the foundation out of the building area and place a special stone on the very top, to accomplish this we used dual cage ball bearing linear slides for our stacking system, and a dual side quad compliant wheel intake to intake the stones.

This was my first year using Kotlin and Java simultaneously to program the robot. Additionally this year I utilized advanced odometry and path following techniques that allowed us to create one of the best autonomous programs in the state of Maryland and Virgina.

My team had great success this year coming 1st in the Maryland Championship and 1st at the Virigina State Championship and advanced to the World Championship in Detroit. Unfortunately the World Championship was canceled due to COVID-19

Rover Ruckus

2018-19

In Relic Recovery, the goal was to score 4in by 4in cubes into a structure in certain patterns, at the very end of the match the robot must pick up a relic and extend it 5 feet outside of the field. To do this we created a dual chain lift that was able to score two cubes at the time, the limit according to the rules, and a linear slide extension for the relic. Using Java and advanced object oriented design we were able to control the dozens of DC Motors and sensors. By the end of the season we had the best autonomous in the World.

My team had great success this year coming 1st in the Maryland Championship and advanced to the World Championship in Detroit. At the World Championship we went 8-1 in qualification matches and won our divison, and placed 2nd in the world.

Relic Recovery

2017-18

In Relic Recovery, the goal was to score 4in by 4in cubes into a structure in certain patterns, at the very end of the match the robot must pick up a relic and extend it 5 feet outside of the field. To do this we created a dual chain lift that was able to score two cubes at a time, the limit according to the rules, and a linear slide extension for the relic. Using Java and advanced object oriented design we were able to control the dozens of DC Motors and sensors. By the end of the season we had the best autonomous in the World.

My team had great success this year coming 1st in the Maryland Championship and advanced to the World Championship in Detroit. At the World Championship we went 8-1 in qualification matches and won our divison, and placed 2nd in the world.

Velocity Vortex

2016-17

I was in 7th grade when I started participating in the FIRST Tech Challenge RObotics Competition, and my first game was Velocity Vortex. The goal of Velocity Vortex was to shoot 3 inch wiffle balls 4 feet into the air, and into a "vortex" structure. To do this we created a dual flywheel system that utilized a perfectly shaped arc to launch the ball 4 feet in the air. Using Java and an on board Android phone we control the dozens of DC Motors and sensors on the robot to do autonomous tasks and compete in the tele-op controlled period.

My team had great success this year coming 2nd in both the Delaware State Championship, and Maryland Championship. After we went to the East Super Regionals were we were a semi-finalist and advanced to the World Championship in St. Louis. At the World Championship we went 8-1 in qualification matches and won our divison, and placed 2nd in the world.