Jonathan Batchelder

Triage Simulator

Published a Windows App Store application that trains medical students during the COVID-19 pandemic, achieving 150+ acquisitions from 25+ countries

Developed a UI that guides users through 3D training scenarios, including 8+ animations that simulate realistic medical symptoms

Programmed 70+ unique training scenarios by using a randomization algorithm

Designed a login system that authenticates users and saves individual training scores using Firebase

Utilized: C#, Unity, 3D Animations/Rigging, Firebase

App Store

Real-Time LED Image Displayer

Established 5+ REST API endpoints that manages uploaded images on a 32x32 LED display by running a Flask server on a Raspberry PI

Designed an iOS, Android, and web app that controls each endpoint and image using Flutter and HTML

Integrated an IR receiver onto the PI GPIO pins and mapped IR remote codes that allow remote control of different images on the LED display

Utilized: Flutter, Python (Flask), IR remote coding, Rest APIs

Code

YeetPost Mobile

Developed an iOS and Android location-based, social media application that removes messages with cyberbullying with machine learning

Integrated NoSQL database that syncs messages across mobile devices in real-time

Trained a neural network on 13,000 labeled cyberbullying/non-cyberbullying messages to achieve an optimized, cyberbullying message detection rate of 91.4% (2,600 sized testing set)

Utilized: TensorFlow (Python), Flutter (Dart), Firebase

Code

Muscle Sensor LED Display

Designed and printed a custom, battery-powered PCB, using Eagle, that reads EMG (electromyography) signals from surface electrodes on the Myoware Muscle Sensor

Leveraged the Atmega164p's JTAG interface and ADC to process analog, EMG signals and bit-banged the EMG values onto a 32x32, 1:8 scan rate, LED display

Utilized: Schematic/PCB design (Eagle), Simple C programming (Atmel Studio), JTAG interface

Code

Jonathan Batchelder