Computer Science - Spring

Team Members

Dylan Windebank
Michael Laymon
Ravi Addaguduru
Joshua Marr

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Each term, students and faculty enter data for each course they are enrolled in/teach in the  CSE, IT, CE, and CY departments. Around the time when terms are ending, students are provided a link to a survey that asks how well the courses followed the course outcomes.  Instructors can compile that received data to produce reports that are given to  the Undergraduate Curriculum Committee and the Undergraduate Coordinator so the courses/departments can be assessed under ABET guidelines. The current system is outdated and hard to maintain. The goal is to create a new system to accommodate the changes with a Next.js frontend, .NET backend, and MySQL database.

Acknowledgments

The project began Fall 2020 and the previous teams have made great contributions. The previous teams include sudo rm -rf, Team 5, Caffeine Overflow, Segfault Wizards, and Infinite Loop. This project will likely continue after Spring 2023.

Team Name

Null_biters

Team Members

Rachael Carpenter
Aaron Hogan
Malcolm Morton
Tomas Ponce
Chase Golden

External Sponsors/Mentors

Lease Analytics
Jon Kleehammer
Nathan Sutphen

Abstract

The Null_biters team was assigned to create a bounding box algorithm that draws boxes surrounding any paragraphs or sections of text on PDF documents -with reasonable execution time and accuracy. Our algorithm is done by converting PDF pages into images, making the image a B&W color scheme then inverting it, creating & searching for white blobs to draw via dilation & erosion, drawing the bounding boxes around the text in the original image using information from digital image processing, then reverting the image back into a PDF. In addition, the Null_biters team was able to accomplish this by utilizing python code to develop the algorithm and a ruby on rails application to test it on.

Team Name

Rookie Writers

Team Members

Dinh Cao Dat Nguyen
Huy Bui
Minh Than
Jason Luu

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

With the request from doctor Ludi from UNT department of Computer Science and Engineering, we are designing an app that can both run on Android and IOS. Our goal is to create an application to help parents and babysitters to monitor their babies’ intake of substance, sleep time and much more. We are using React Native for the UI and UX design and .NET framework and C# for Backend.

Team Name

Time Complexity

Team Members

April Eaton
Colin McCrory
Kennedy Middlebrooks
Hung Nguyen
Cecil Nnodim
Hien Pham

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Our baby tracker app aims to solve the problem of a new parent’s hectic lifestyle preventing them from easily keeping track of their baby’s needs. By being simplistic and focused, stuff like adding baby information, events that have happened, or appointments that will happen is very easy. Navigation and customization is intuitive, and the ability to link multiple accounts to a baby means families can keep up without worry.

Team Name

Lucky 13

Team Members

Garrett Prestidge
Katherine Aquilone
Manuel Aragon
Miguel Hernandez
Shellie Pham
Muzhda Wahed

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

BrixColor Finder is an innovative app that uses machine learning models to empower visually impaired individuals by accurately identifying the color and type of individual LEGO bricks. Developed for both iOS and Android devices, the app enhances the LEGO building experience for users with various visual impairments, promoting inclusivity and fostering social interactions.

While people with visual impairments can enjoy building with LEGOs, challenges in determining brick shape and color may arise due to their impairments. BrixColor Finder addresses these challenges with its unique focus on LEGO brick identification, combined with its use of image recognition technology and LEGO-specific databases. The app is also compatible with phone screen readers, providing a more comprehensive tool for users.

By bridging the accessibility gap in the world of LEGO, BrixColor Finder has the potential to benefit not only visually impaired individuals, but also educators, therapists, and parents working with them.

Acknowledgments

For our machine learning model that we generated using Teachable Machine, we used an open-source Flutter tutorial project created by Kodeco LLC and integrated it into our project in order to run our model. Here is the URL of the tutorial, but the source code requires a login to access:
https://www.kodeco.com/37077010-tensorflow-lite-tutorial-for-flutter-image-classification

Team Name

The Missing Semicolon

Team Members

Mohammed Abutayyem
Abdalrahman Alkewaifi
Massimiliano Celant
Kulthum Lakha
Melvin Towo

Internal Sponsors/Mentors

Dr. Stephanie Ludi
Dr. Wajd Aljedaanii

Abstract

Lego bricks are not only one of the most common toys used by children, but also used by adults who want to unplug from their phones and computers. The bricks come in different sizes and colors that may be hard for visually impaired people to identify.

Brix Color Finder is an android application that helps visually impaired people identify lego bricks in three  easy steps; taking a photo of the block, cropping the photo, and uploading it for processing. The application returns the color and dimensions of the lego brick in text and voice form.

Team Name

Full House

Team Members

Brandon Lopez
Cade Johnson
Sana Alhamad
Ahmed Alrimawi
John (Marshall) Turner

Internal Sponsor/Mentor

Wajdi Aljedaani

Abstract

CodeMe revolutionizes programming education by streamlining the learning experience and helping users overcome coding challenges. Its benefits encompass an intuitive text-to-code translation, making it easier for users to apply programming concepts to actual code, while fostering skill development. The Smart Tips feature offers clear, accessible explanations of code logic and principles, enhancing understanding and promoting deeper comprehension. By encouraging active learning, CodeMe transforms users into informed participants, leading to better retention of programming concepts. Catering to a diverse audience, from beginners to experienced programmers, CodeMe serves as a valuable resource for individuals at various stages of their coding journey. Ultimately, CodeMe empowers users to develop and fortify their programming skills, setting the stage for success in the rapidly evolving world of software development.

Team Members

Tyler Adam Martinez
Christopher Gonzales
Jackson Johanek
Joshua Morgan
Tommy Vu
Henry Peeples
Kyle Sikkema
Isaac Acord

External Sponsors/Mentors

CodeStream Studios
Chandler Lowe
Emilio Espinosa
Kyle Foster

Abstract

CodeStream Studios is a technology-based education company that developed the CodeStream Online Studio, or CSOS. The CSOS editor delivers engaging student experiences in a comprehensive and user-focused environment. Our senior design project focuses on enhancing this editor.

Our senior design team modified the code server by Code (a completely online version of VSCode by Microsoft) repository. We modified the code server to be more kid-friendly by making specific configuration files and the terminal read-only. Students can run their code along with unit tests created by their teacher, allowing them to check the correctness of their code.

Teachers can create unit tests to grade their student’s projects automatically. The automatic grading feature aims to streamline the learning process for students while reducing teachers workload. 

Overall, our senior design project will improve the quality of education provided by CodeStream Studios and enable teachers and students to have a more engaging, flexible, and efficient learning experience.

Team Members

Gustavo Wences
Jack Duffield
Linh Ha
Bader Shoufi
Sinikiwe Mapuke

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Our goal is to contribute ease of life to those who still have cash in their wallet and have a hard time distinguishing between the bills.

CurrenSee will use a phone camera to identify which bill the user has and then communicate the result to the user via voice.

The target demographic for our product include people who are visually impaired whether they are completely blind or have issues with near sightedness. Another demographic that may benefit from the app are those who are not acquainted with U.S. currency.

Our initiative with this app is to provide a currency reader free of charge that competes with similar apps that are already available but are locked behind an egregious paywall.

Team Members

Bret Hogan
Brandon Whitney
Joshua Sweeney
Tyrell Richardson
Juan Silvera
Reese Hyatt
Garet Dade
Noah VanAlstine
Josepha Taboh
Karxyriah Ashley
Ted Ribiro
Chalieta Audreylia
Jacob Kevetter

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Discovery Park can be challenging to navigate for new students and current students. Due to the layout of the building and the uniformity of rooms and wings, it can take some time to get familiar with Discovery Park. Our goal is to create an application that students can use to navigate through Discovery Park. Using Global Positioning System (GPS) and Augmented Reality (AR), students are guided from their current location to their desired location in Discovery Park. This application is built using the Unity Engine, and pathfinding is done using the A* algorithm. Additional features to the application include a schedule builder and a scavenger hunt.

Team Members

Oriana Borges-Salinas
Ismael Castaneda Villegas
Suzanne Nolba
Dagar Rehan

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

The LEGO Brick Finder app (for iOS) assists visually impaired people in identifying the color and type of LEGO bricks.

An image must contain only one LEGO brick for the app to identify its information accurately.

The information presented on the LEGO is the colors and parts with precise naming (e.g., Dark Green 3024 brick).

In addition, the app is also compatible with Voice Over and Voice Commands, allowing for dynamic interaction with users.

Furthermore, a glossary allows users to index specific bricks per their needs.

Team Members

Emmie Abels
Daniel Koelzer
Mya Miller
Lori Keeland

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

The LEGO® MINDSTORMS® Ev3 kits are hands-on cross-curricular STEM solutions for students ages 10 and up. These kits include many small pieces that can be hard for users to identify. 

The LEGO® MINDSTORMS® Brick Locator aims to provide support while building robots in the LEGO® MINDSTORMS® Education Ev3 Core Set and LEGO® MINDSTORMS® Education Ev3 Expansion Set. Using machine learning, the app identifies the LEGO® bricks and relays the location of the brick to the user. The app makes building the robots more accessible for people who are visually impaired or any user who wants help finding the correct brick.

Team Members

Abrielle Williams
Blake Alvarez
David Chacon
Danny Habash
David Keeter

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

The problem we are working towards is fixing the lack of availability of applications that are geared towards LEGO Mindstorm sets in finding bricks for individuals that are visually impaired, as well as easing and providing convenience for people who are interested in building these sets. We are aiming to create an application to aid in finding a specific LEGO Mindstorm Block in a large pile, as well as identify a single specific piece. This would help streamline the building of Mindstorm Robots and make building projects with Mindstorm Blocks accessible to all.

Team Name

Flutterflies

Team Members

Amina Opio
Isabelle Williams
Jonathan Dominguez
Ajelet Salinas

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Meet Me Halfway is a mobile app that was created to make meeting up with friends and family easy for both parties involved. With fuel prices rising and time being a valuable resource for many, Meet Me Halfway aims to reduce some of the stress that organizing a meetup may frequently cause.

By the use of location services and GIS technologies, users will be able to input their location into the app and receive an approximate “halfway” point between them and their designated friend. The software can also suggest locations based on what the user wants. Depending on the users needs, the app may suggest various locations, such as a restaurant for meals, an arcade for entertainment, a police station or hospital for emergencies, etc.

Team Name

Miners

Team Members

Bijay Shrestha
Bipin Bhattrai
Intisaar Islam
Samuel Njogo

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Our app, aims to provide an efficient and stress-free way for people to arrange meetings with friends, colleagues, or business associates. It eliminates the need for lengthy discussions about where to meet and enables users to quickly find a mutually convenient location. The app uses geolocation data to determine and suggest a list of popular meeting spots equidistant from two distinct locations. Utilizing the user-friendly interface, users can choose from a range of options, including cafes, parks, and other public spaces providing quick and reliable results with just a few taps on the screen.

Team Name

Kaia & Friends

Team Members

Salman Farooq
Ethan Flute
Riwaj Mainali
Kaia Siripanyo

External Sponsor/Mentor

Neura Studios

Abstract

The Neura Studios Web App is a website designed for the game development company Neuro Studio, which is the team behind “Play Roverse”. The website will showcase the studio’s current and future projects and also function as an application platform for potential game developers. 

As the studio currently does not have a single space for it’s games, this web app will serve as an all encompassing brochure that will allow visitors to the site to see many different aspects of the company. These include an about section for the company, photos and videos for showcasing their games, and a contact form.

Team Members

Dayton Forehand
Jackson Welsh
Jacob Benz
Julian Garcia-Hernandez
Kobe Edmond

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

OpenGrader is a web-based tool designed to simplify the task of grading for teachers. The platform allows instructors to automatically assess the code of their students across multiple programming languages such as C/C++, Python, JavaScript, and Java. With OpenGrader, teachers can define multiple test cases for each programming assignment, and the system will automatically run and evaluate the code upon submission.

In addition to automatic grading, OpenGrader also generates reports detailing the performance of each student, including their score and any errors or warnings generated during the evaluation process.
OpenGrader provides a robust and user-friendly solution for automating the grading process, freeing up valuable time for teachers to focus on other important aspects of their work.

Team Members

Pearson Davenport
Leonardo Grimaldo
Evan Harr
Sussie Manovapillai
Alexander Rohrig

External Sponsor/Mentor

OpenGym

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

The motivation for this project is to incorporate object tracking into the usual training regime of basketball players in order to provide them with data that can improve their performance. This includes optical tracking of the basketball for both shot positional data and “makes or misses”. All this data will drive the person’s training as they look back through a database that includes all stats recorded across multiple practice sessions.

Team Name

CryptoFolks

Team Members

Suleiman Sulaimanov
Zachary Carpenter
Natalio Castaneda
Hayden Lauer

Internal Sponsor/Mentor

Dr. Jonathon Doran

Abstract

Microsoft’s OneNote is a popular application for note-taking. However, being a closed source application, it is practically impossible for the community to make changes or additions to the application. This issue is further amplified by Microsoft’s lackluster response to community feedback. Even worse, in recent versions, Microsoft has even removed some features and begun aggressively pushing usage of OneDrive, their cloud storage platform. This raises both privacy and security concerns, as losing your Microsoft account via phishing or data breach grants bad actors' access to all your notebooks. Our solution to these problems is OpenNote, an open-source notetaking application using Python and the PyQt library.

Team Name

ICTech

Team Members

Cody Hogan
Grae Cathey (Kaitlyn Horton)
Joshua Thomas
Noah Johnson

Internal Sponsors/Mentors

Dr. Stephanie Ludi

Abstract

As pet owners, we all have an array of applications on our phones to track exercise, diet, vet appointments, and many other things. With all these separate apps, it can be confusing to keep track of things and even tiresome to keep updating things in multiple locations. Paw5 aims to fix this issue by combining these features into a single, all encompassing application.

Paw5 is an app that helps organize all facets of pet ownership, neatly organized into five categories: Health, Map, Community, Services and News. With the app, users will be able to monitor their pets and delve into the pet community around them without having to resort to internet searches. From boarding during travel, finding dog-friendly places to hang out, or even updating your neighbors and friends on information about your pets, Paw5 aims to be the go-to pet app on every pet lovers phone!

Acknowledgments

Special thanks to our friends and family who helped brainstorm ideas and contributed photos of their pets, as well as our TA, Saba Yousefian Jazi, and Professor, Dr. Stephanie Ludi.

Team Name

pseudo_coders

Team Members

Dennis Byington
Raven Devore
Joseph Heffley

External Sponsors/Mentors

Lease Analytics:
Tom Agnew, President & CEO
Jon Kleehammer, Development Lead
Nathan Sutphen, Senior Developer

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Lease Analytics tasked us with building a system that generates bounding boxes around chunks of text on PDF documents. Lease Analytics is building a document management system, and our project is a vital step in their plans of implementing a machine learning algorithm which finds missed opportunities for profit in documents related to oil and gas companies. Our project, Wactz.io, is not the end goal for Lease Analytics, but portions of our project will be integrated into a real web application, which will see business traffic and have real impact on industry. Our project will provide a useful and innovative feature to Lease Analytics’ document management system that will hopefully give them an edge over other competing web applications.

Team Members

Leif Messinger
Eric Pasho
William Rapp
Austin Carlin
Jethro Bizumuremyi
Cadence King

Internal Sponsor/Mentor

Wajdi Aljedaani

Abstract

The restrictions of the traditional classroom setting lead many young Computer Science students to disregard the cleanliness, maintainability, and readability of their code. 

Through informative articles, interactive examples, quizzes, and study playlists, we aim to revolutionize the way refactoring is taught.

Our lessons’ interactive code examples are generated by an in-house algorithm. The algorithm separates each potential improvement that could be made to the code, allowing the user to examine each improvement individually. As each improvement is stored individually, the user can examine them in any order they wish. 

We display the original and improved code in a side-by-side configuration, allowing users to every combination of improvements themselves to see what changes, without having to navigate back and forth. The user simply hovers over a section of code to see what improvements could be made to that specific section.

Team Name

Nobody

Team Members

Thijmen Bakker
Michael Laufer
Steven Mathis
Kelsey Porter
Nick Triantos

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Visually impaired gamers have issues playing some of the video games that other gamers enjoy playing. We set out to create a game where the main focus was the visually impaired community. In order to help the visually impaired community play our game, we created an RPG style game where the player can move around the world using spatial sound. On top of that all text in the game has screen reader support so that the player can immerse themselves into the story regardless of level of sight.

Team Name

Brute Force

Team Members

Abhirose, Balayar
Jofiel, Gomez
Nazib, Khan
Jacob, Pham

Internal Sponsor/Mentor

Dr. Jonathon Doran

Abstract

Our project is an open-source desktop application called CloneNote which provides users efficient workflow by  implementing a bloat free software with user specific requirements. Dr. Jonathon Doran, our sponsor wanted us to create a OneNote clone that includes everything that makes the free version of OneNote desirable while also including features that are loved in other similar paid applications. CloneNote’s innovation comes from it being a cross-platform application that many will have full access to, regardless of their operating system (Windows, iOS, Linux). CloneNote is developed using Python and PyQT5, a GUI toolkit.

Team Name

Five Guys

Team Members

Zachary Chenausky
Haris Javed
Saad Javed
Clay Lewis
Jigme Rinji Sherpa

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Our goal is to implement accessibility options that enable those who are visually impaired to learn and work in Python with LEGO mindstorms. The tool extends Visual Studio Code’s existing accessibility features that will provide a more comprehensive experience for all users.
Through the use of voice commands and aided snippet creation, our extension aims to help new users learn while helping more knowledgeable users to save time. Though our extension will be helpful for sighted people as well, our additions were focused on making the process simpler and quicker for people with visual impairments.

The Visual Studio editor lacks many accessibility features that are required for the visually impaired to work effectively. Our extension is built keeping people with various visual difficulties in consideration, allowing tools to adequately write, edit and debug code. There are not many extensions Visual Studio Code provides that emphasize the needs of such people.

Team Name

Nice Guys

Team Members

Brandon Castro
Aracely Heredia
Eduardo Garcia
Saul Garay

Internal Sponsor/Mentor

Dr. Stephanie Ludi

Abstract

Baby Tracker is an app that will help new and current parents track their baby’s health in an easier way. By allowing users to track certain metrics, (sleeping hours, feeding times) parents will be able to see their child grow and see how healthy they are. This will allow parents to track and understand the child’s health and make it easier to bring up concerns to doctors during checkups.

Team Name

Towels of the Galaxy

Team Members

Andrew Jacobson
Henry Legay
Rizwan Laghari
Alan Nguyen
Shijing Guo

Abstract

The goal of this project is to create an application that tracks and displays in a meaningful manner pertinent tasks/information about one or more babies. We need to implement an easy to use application for the average parent, with minimal navigation to track tasks. Additional features required include detailed analysis of user-created tracking instances and an overview of daily inputs with totals of like-instances.

Our team “Towels of the Galaxy” aims to create an easy to use and accessible Baby Tracking Software that gives any parent of an infant child the ability to keep up with their baby's needs and history in which they can analyze and use to their benefit. We’ve taken careful consideration including conducting studies on other baby trackers as well as conducting interviews with potential users. Each study and interview helped us understand the necessary and quality of life functions of a baby tracker.

Team Members

Bryan Guzman
Humza Khan
Joshua Smith
Aavinash Doobraj

Internal Sponsor/Mentor

Dr. Wajdi Aljedaani

Abstract

Entering the University of North Texas can be a challenge for newly arriving freshman, whether students come from the nearby Dallas-Fort Worth, other states like Oklahoma and California, or even halfway across the world. The UNT Companion App aims to help new students ease the transition into this unfamiliar environment featuring: an interactive map of the campus and Denton area; notifications for both UNT and student-hosted events, weather updates, and emergency situations; class tracker; and a forum app. Implemented as a app for both android and IOS devices, everyone from new students and faculty to those returning will be able to discover and familiarize themselves with the University of North Texas and the surrounding Denton Area.

Team Name

Will Code For Food

Team Members

Ian Tharp
Colin Fisher
Sakcham Sangroula
Ben Martinez
Cambry King

Internal Sponsor/Mentor

Dr. Wajdi Aljedaani

Abstract

Our team is funded by Wajdi Aljedaani to develop an educational tool to help with the learning of the topic refactoring. We define code refactoring as improving code step by step while preserving its functionality. This tutoring system will help teach students to refactor functionally correct code. The tutoring system provides automated feedback and layered hints. The overall objective is to allow students who have fundamental programming knowledge to be aware of the qualitative aspects of their programs and teach them how to refactor their programs to make them easier to understand, more efficient, and with the best use of language constructs.

This will be implemented through a web application where students can access their individual data via login and registration. Students are able to track the progress of their learning from their profile dashboard and see visual analytics over their learning. Overall, this application will help provide a fun interactive environment where programmers are able to learn about the benefits and various types of refactoring.