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SUB-ME: SHORT SOLUTIONS FOR A LONG PANDEMIC

2nd Place Winner of the KC Federal Code-a-thon 

Team: Laura Pareja, Ean Vandergraaf, Carter Williams, Seth Workman

SUB-ME solves the problem of sick or quarantined employees by offering a platform for businesses to post brief job listings as soon as they need someone to fill in while their employee is out. Additionally, SUB-ME offers a platform for people who have recently been layed off due to the pandemic, or anyone who is in need of a temporary job and need some type of income while searching for a steady job. These job listings will be brief and the jobs themselves won't last for very long. Furthermore, listings are organized based on keyword searches and the location of the prospective temporary employee. Job listings will also provide certifications that prospective workers must have. Once an employee applies for a job that meets the certifications, they can be contacted by the account manager of the company. SUB-ME's purpose is to help alleviate the pressure that the coronavirus pandemic has had on businesses dealing with quarantined employees.

CS Projects: Welcome

MOLECULAR REU PROJECT

North Carolina State University - Undergraduate Research

MoleculAR was a solo summer project that I worked on under the direction of Dr. Arnav Jhala. The goal was to develop a phone app that would assist in the teaching of Chemistry concepts, such as Ionic Bonding and Solubility rules. The app uses printable cards and AR technology to provide a fun, interactable experience for students.

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Check out the full site here!

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CS Projects: Welcome

ALTAMAHA RIVER  REMOTE SENSING

Louisiana State University - Undergraduate Research

This research was another solo summer project that I worked on under the direction of Dr. Giulio Mariotti. The process involved gathering satellite data from Google Earth's database, filtering and sorting that data into two categories of high tide and low tide, and then exporting that data into Google Collaboratory, where the data was further analyzed and visualized using matplotlib.

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Full powerpoint:

©2021 by Carter L Williams. 

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