Rural Reimagined Student Success Story

Rural Reimagined would like to recognize and congratulate all the Computer Science students who presented their Capstone project at 麻豆果冻传媒鈥檚 Engineering Expo on Thursday, April 28, 2022. Many, if not all, of these students鈥� work will directly impact our rural communities. All projects were under the direction of Dr. William Eberle.

Cameran Green, Conall Fisher, Andrew Al-Halawani, Lukas Motykowski, and Jacob Ford completed their project titled 鈥淓duNet.鈥� It was sponsored by Rural Reimagined鈥檚 Michael Aikens and Kinsey Simone. These students researched ways to directly transform rural education through the development of EduNet, a website that allows K-12 teachers to post ideas, resources, and allow communication among educators about receiving said resources from one another. This group of students partnered directly with Rural Reimagined and designed a great project. Jamison Boyd, Thomas leisure, Evan Sells, Jarett Tice, and Simon Winters presented their project titled 鈥淭ennessee State Parks AR Integration,鈥� with its main goal being to create an augmented reality application for the Tennessee State Parks.  The app they designed 鈥渁llows visitors of the Frozen Head State Park to view a Civilian Conservation Corps camp that once stood in the park鈥� and features a park map, FAQ, and a gallery. Billy Carico, Elijah Cunnigham, Peyton Johnson, Colin Lafever, Carlos Medrano, and Nicholas Vlahakos presented their project titled 鈥淓lectronic Clinical Record.鈥� The group was tasked with creating a new electronic clinical records system to replace a current paper recordkeeping system. To do this, they adapted their base software, Bahmni, with the needs of Predisan Health Ministries, a Honduran non-profit medical organization, in mind. 

Jacob Gable, Jim Moroney, Justin Presley, Johnathon Rich, and Jacob Sweeten presented their project 鈥淟ogistics Visualization Map Suite,鈥� in partnership with Averitt Express. The main goal of this project was to use Averitt鈥檚 software to 鈥渧isualize logistics data to assist managers with diagnosing inefficiencies in routes鈥� and 鈥渋mprove upon previous team鈥檚 work with two new map types and overall better code.鈥� Alex Quarles, Ben Austin, Bryan Davis, Daniel Steinmeyer, and Nathaniel Hynek presented their project about a recommender system. Their project was titled 鈥淗ow to Create a Recommender System,鈥� and the main goal of this project was to create a Recommender System for Cru that targets ways to find what the reader will find most appealing. The system 鈥渃onsiders their current interests based off what they have read and finds similar topics within the database.鈥� Amanda McGuire, Jacob Hill, Jonas Fornehed, Joseph Doonis, Robert McKay, and Timothy Kelley presented their project titled 鈥淧redicting Potential Patient Issues,鈥� and the main goal of this project was to create an application for NavSEA that 鈥渋mplements machine learning capabilities to predict critical patient events in the ICU.鈥� The system would provide a patient鈥檚 medical data and predictions about their future status as well as assist trained medical personnel with decision making and resource allocation.  

Bentley Burgess, Mateo Gannod, Keadin Hull, Ryan MacGregor, Jordan Myers, and Carli Williams presented their project 鈥淏readcrumb Fraud Protection,鈥� aimed towards the main goal of creating 鈥渁 data pipeline that accepts a dataset from an API, formats the incoming data, passes the new request to the fraud detection model, and returns a verdict based on the model鈥檚 results.鈥� This provides fraud detection as a service feature for the company鈥檚 data pipeline. Daniel Brown, Jacob Latham, Caleb Lichtenstrahl, and Richard Mitchell presented their project titled 鈥淐apture Dash,鈥� and the main goal of this project was to design a better way to for SAIC examine and sort through federal requests for proposals. Their abstract explains 鈥渢he capture dash system is an analysis and sorting system that analyses RFPs and tags it with certain attributes based on what kind of project it is.鈥� Finally, Tavian Dodd, Chandler Hendrick, Brain Kemp, Bryce McDonald, and Grant Qualls presented 鈥淥RNL Weather Retrieval Tool.鈥� The main goal of this project was to make an application that can directly access the National Centers for Environmental Information (NCEI) archives and pull the requested data for the user. Their system would allow users 鈥渢o download data from one or more weather stations鈥� and solve the delay in weather data retrieval that ORNL is experiencing. 

Congrats again to all of the Computer Science students who presented their hard work at the Engineering Expo which directly impacts our rural communities, as well as for completing their Capstone projects successfully. For more information on any of their projects, visit /engineering/news/capstone.php . Wings up!