Corona Shield
In wake of the covid-19, it has become increasingly important for people to not touch their face as it can significantly increase the risk of infection. Since the eyes, nose, and mouth are the three most likely places for viruses to enter the body, decreasing the number of times we touch our face can lower the risk of infection. Based on research, an average person touches their face with their hands approximately 200 times in a typical day.
Corona Shield is developed as a behavior modification tool for apple watch wearers to detect when one brings their hand to their face and provide a haptic notification. Additionally, the app keeps count of the number of times a user brings their hand to their face. On the apple watch interface, the user has the option to set which hand they wear the watch on; however, it is recommended that the watch is worn on the dominant hand to be most effective (Research shows people touch their face with their dominant hand more often than their non-dominant hand).
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Stim Soothe
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by behavioral and social characteristics that is estimated to impact 75 million people and their families. Stereotypic motor movements (SMMs), also known as stimming, are a hallmark sign of ASD. In general, stimming exacerbates the difficulty of people with ASD to function in society and can be harmful. Currently, there are no commercially available devices that predict SMMs. Our goal was to develop a wearable device that not only predicts this behavior but also intervenes using a series of haptic vibrations when the behavior is predicted to reduce the intensity and frequency of SMMs. This data is accessed by an Android app and processed to show several different metrics that can be used to create custom therapies and monitor improvement.
Automated Recycling Trash Sorting Device
Developed as my final master project for GHP engineering, this device used machine learning and vision tracking to differentiate between a few different recyclable vs trash objects and separate them into two different bins. I led a group of two other students from GHP on this project.
Softwear Internship At Softwear Automation
Developed a machine learning/vision processing algorithm which uses gabor filters to segment out different materials based on the stitching pattern in the cloth. I used scikit-learn, Opencv, and python to develop this program.
2018-2019 First Robotics Competition
As the Head of Programming of our club, I lead our team to be one of the 8 teams to represent the state of Georgia at the International First Robotics Championship in Houston. Over the course of the season, I lead our programming division to win two Innovation in Control Awards which are awarded to team which have implemented control theory in an innovative way. At the international championship, our team made it to the quarterfinal round.
Motorized wheelchair training device for patients with limited hand coordination
This device was created for a student at my school who has cerebral palsy. Unfortunately his hand coordination is limited as a result of his his disability. His physical therapist reached out to the engineering department at my school and I was chosen to design a device which could be used to improve his coordination. The final product is shown to the right. The device is controlled via two ardunios, and powered of 3 9 volt batteries. It has an LCD screen to show which directions the user is struggling in (explained in the video). The entire case is 3-D printed and very durable.
Self Tying Shoelaces to for people with limited motor skills
This project was created with the intention of making the shoe lacing process easier to reduce the stress on people who are not able to tie their own shoelaces. The device tightens and loosens the shoelaces of a shoe via a Bluetooth app. The device is rechargeable and can be easily integrated into most shoes.
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Research Paper Link: https://docs.google.com/document/d/1YPaFy7xoKsqY9u3uj20oF9Oc28tN7B9V8oQnGzEs5Yk/edit?usp=sharing
Computer Vision Algorithm for FIRST Robotics Compeition
This program was designed for my high school robotics team. The program was written in python and used the OpenCV library. The goal was to create a program which can detect a green rectangular shape and move the robot towards the center of that shape. The algorithm takes video feed from a Logitech camera and applies a filter to the video feed to find green shapes. From this, the coordinates of the center point are accessed and used to move the robot accordingly.
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GitHub Repository: https://github.com/UnityGameDesigner/FrcComputerVision
Chem Genius Jr.
This project was created for the Fulton County Technology Fair where I placed 2nd. This is an app developed in Unity to teach about the basics of bonding and compounds in chemistry. The app also has a built in periodic table with information about each element. Additionally, the app has a feature where the user has to state the chemical formula for a commonly known compound.
The Maze Defender
This project was created for the Fulton County Technology Fair where I placed 2nd. This game is a first person game where the player has to navigate through a maze, defeat enemies, and collect coins for power ups. The game was developed in Unity and Mono Develop.
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