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Your donation will support our bi-annual FSE Capstone Showcase events and provide our senior engineering students the opportunity to highlight and celebrate their culminating team projects with their peers, faculty, industry mentors, family and community members.

Team Members:

Jesus Canez, Michelle Lefebvre, Alec Baldus

FirstLine TaskForce AR

AR web application that showcases the ability of putting tasks of First Responders in the hands of civilians.

This applicaiton featrues AR/VR and 3D modules that our sponsor can levage to demo engage users.

Applicant Tracking System

Developed a streamlined web application that allows for applicants to apply to open positions and allows recruiters to track applicants through the hiring process. Our applicant tracking system is made using technologies which include Net Framework, C#, HTML, CSS, JavaScript, Rest APIs, SQL, and Microsoft Azure.

Team Members:

Courtney Whitaker, Hardik Gupta, Daniel Evans, Luis Claramunt, Colin Corkill

Team Members:

Key Feula, Ellis Green, Callan Jansen, Shaun Miller, Ricardo Valdovinos

Arizona Coyotes Hockey Club - Prospect Database Application

During our capstone project, we developed features for the Coyotes’ PackNet web application, which will be used internally by their scouts. The first semester of the project was focused on the Mental Evaluation feature, consisting of a series of surveys and reports on prospective players, which are ultimately scored and stored in the database. During this second semester we created a blind polling system, wherein scouts can create, share, and respond to multiple choice, true or false, and player ranking polls.

Increased User Engagement on ThinQ.tv

This project involves implementing features and improvements on ThinQ.tv (a site intended to cultivate a community of women engineers with video chat) to increase user engagement. The other goals in mind were to learn how to contribute to a Rails app, and learn more about web development. Some of our most prominent achievements involve increased usability for the site’s mobile version, implementing an invitation feature, better enabling users to embed ThinQ.tv on their site, and adding a new dimension to a site user in the form of a reputation score.

Team Members:

Karl Espinosa, Vaughn Jacobson, Graham Knight, James Lord Ender Laing

Team Members:

Umer Ahmed, Ian Bolton, Qiang Fu

PMC Investigation

Our team has been investigating Private Military Companies that have been linked to the Russian government. Using several OSINT tools, we have captured and built several statistical analyses of the data we have managed to scrape and archived thus far. A growing and disturbing ideology lives underneath the web.

PayPal & Static Site Generator Support

This project focused on the creation of an e-commerce plugin for a server-less Gatsby site that uses PayPal as its payment processor. The plugin provides all backend functions, including a shopping cart, payment processing, order confirmation, and creation of product pages based on markdown files. A sample starter site was also created so that developers could quickly implement a site using our plugin.

Team Members:

Brian Bruns, Connor Wardell, Misha Zelechowski, Shaun Xiong, Sonny Huynh

Team Members:

Laura Gilles, Mays Albaiaty, Travis Lo, Noor Matloob, Yirong Wang

Neurological Health Foundation - Mobile App for Prenatal Supplements

Create a mobile app for both Android and iOS devices that display research findings conducted by the Neurological Health Foundation on prenatal supplements.

Gravel Shooters Local Business Mobile App

Gravel Shooters operates in Phoenix, AZ as a gravel delivery company. Currently, Gravel Shooters creates customer quotes manually by hand. The Gravel Shooters Quick Quote Calculator automates the quoting process by using the Google Maps API to display route information and calculates the cost of the delivery based on the methodology currently used by the company.

Team Members:

Delveen Al-Hamka, Stone Gulliksen, Kartik Gupta, Constantina Kondylis, Jonathan Schack

Team Members:

Alexander Bauman, Adrian Gonzalez, Eric Grimm, Brandon O’Bier, Anthony Salaices

Feathir Property Management Application

Feathir is a light, simple, and efficient property management application designed to ease the burden of various aspects of property management. It is comprised of a web application for general management operations and Android and iOS mobile application for performing property surveys.

WeFit Inc - Social Health App

WeFit is a health-centric social network. WeFit combines community and social media with fitness and motivation. The result makes your health journey much more pleasant and accessible.

Team Members:

Paysen Bramblett , Duc Huy Dao , John Oper, Thomas Shelley , Rida Shibana

Team Members:

Mary McCready, Matt Evans, Bryce Turner, Zhihao Zhang, Randall Knutson

Microsoft Docs Authoring Pack

This project is based on testing components and developing new features for a Visual Studio Code extension published by Microsoft, the "Docs Authoring Pack". This extension assists with content development for docs.microsoft.com, which is the home for Microsoft documentation and learning resources for developers.

Circuit Tutor

Refactoring Circuit Tutor from VB6 to VB.Net.

Team Members:

Yaqoub Alyakoob, David Lucero, Nick Melusky, Lance Tokuno

Team Members:

Ian Bradley, Laquez Brown, Cason Mandigo, Joshua Marriott, Matthew Peery

Pizza Hut Mobile App Localization

Our project was to redesign the localization user experience of the Pizza Hut Mobile App. This encompassed creating customer archetypes, surveying users, developing prototypes, performing usability testing, and ultimately delivering a redesigned interactive prototype and wireframe code.

ASU Department of Supply Chain Management Web-Interface For Marketing Analytics: Advertisement Optimization With Reinforcement Learning

A web application to educate Master's Business Analytics students in machine learning with a simulated coffee shop.

Team Members:

Gabriel Do, Alec Donovan, Jared Peterson, Luke Stegmayer, Bradley Villegas

Team Members:

Scott Foster, Monica Perez, Michael Li, Dekart Kosa, Nathan Baney

CV-mecu / Wingqt

Through the use of computer vision techniques, our team seeks to add automation and other analysis tools to the workflow of researchers at ASU's Paaijmans Lab. CV-mecu is a program capable of counting mosquito eggs, saving researchers time and effort. Wingqt, a graphical annotation tool, and associated detection algorithms allows for easier analysis of mosquito wings.

HoloLens-Based Virtual Design and Construction Simulator

This is the Del E Web School of Construction Augmented Reality Construction simulator project. This project provides a virtual environment for students to analyze a structure, find defects, and fix these problems. Student actions are monitored and reported to instructors to help identify missing knowledge and thought process. This project has developed the basic functionality of the construction simulator, allowing students to start and calibrate the environment, snap objects together, view the object from the perspective of a child, and add or remove items.

Team Members:

Abrar Akhand, Angelique Mowery, Andrew Hampton, Beau Bright, Timothy Ethington

Team Members:

Andrew Jones, James Li, Tim Martori, Dartanian Mills,Nick Schweitzer

General Dynamics Mission Systems – Extended Reality Rang Control(XRRC)

Our project aims to simulate the Federal Aviation Administration Air Traffic Control Tower and the Army's Tactical Operations Center. The application's purpose is to replace the FAA's physical tower with a virtual simulation while offering the same abilities such as preventing collisions, organizing and expediting the flow of air traffic, and providing information and other support for pilots. The application also replaces the physical Tactical Operation's Center with a simulated environment while offering the same essential duties of the TOC such as monitoring operational progress and maintaining communications with operators in the field

DRIFT

The Drone Integrated Fuzzing Tool (DRIFT) is a capstone research project supported by DREAMS lab at ASU. DRIFT helps address the issue of the need for reliable testing and ability to assure the robustness of robotic autonomy software for drones. The tool allows a developer to harness the power of a cybersecurity concept known as fuzzing to develop reliable and robust drone software in an automated framework.

Team Members:

Zion Basque, Nathan Smith, Benjamin Danek, Wesam Al Zahi

Team Members:

Momen Abdelkarim, Wyatt Calandro, Luis Preto

MLIR Developer Tools

We developed tools to increase the quality of life for MLIR developers. We added syntax highlighting support for MLIR and a tool that helps developers step through their MLIR code as it’s optimized so they can see the optimizations in action.

Development of a construction safety training simulation using Virtual Reality + Haptic Feedback

The goal of the project was that we build a realistic simulation of various common construction site hazards that users (constructor workers in training) will be able to navigate through and experience the consequences of safety violations without actually being harmed. By immersing them in virtual reality combined with full-body haptic feedback, it is hoped that this will be an effective tool in reinforcing their intuition and understanding of the importance of safety. As the industry currently stands, the only common mechanisms for experiencing accidents is by watching training videos, and by simply experiencing actual accidents in the workplace, which is what we aim to prevent with this project.

Team Members:

Patrick Finger, Benedetto Hibler, William Jenkins Jr., Nicholas Larsen, Robert Oller

Team Members:

Zakarya Omar Agha, Mustafa Al-Khalidi, Leonel Higuera, Christine Bui, Quinn Berry

N/A Financial Application

For our capstone project we worked on an existing full-stack application. We continued development on the front end, while providing support on the backend. Our application tracks and displays a user's financial information with respect to their investments.

Sogeti Client Data Repository

The Sogeti Client Data Repository is a modern web application supported by a relational database to allow for storage, viewing and editing of Sogeti client records. Sogeti business analysts will now have a convenient place to document their client’s legacy software during the discovery phase. This web application will provide a valuable solution to the current issues of data consistency and availability.

Team Members:

Scott VanDiepenbos, Gage Gommels, Brian Zahn, Eric Kim, Isaac Alemu, Ethan Curtin

Team Members:

Adam Cochran, Kelly Flynn, Logan Oliver

Fulton Schools of Engineering Tutoring Center - TMS Scheduler

The goal of our project was to create a new interface for the ASU Tutor Management System. We did this by creating a site and implementing an existing API in it.

Real Time Object Location Tracking in Virtual Reality

Using a virtual reality headset, a user is able to see the real-time position and movement of a remote object relative to specific landmarks in a 3D environment. The only hardware required at the remote location is a collection of small, inexpensive, low-power Bluetooth devices. The raw ranging data is sent via a cloud server to the user's computer, where it is interpreted into positioning data.

Team Members:

Adam Harvey, Nealon Lang, Paulina Limon, Toan Nguyen, Dean Styx

Team Members:

Shannon Elsner, Noah Korner, Max Forward, Cole Santana, Harrison Billings

ResumeFreak-Resume Building Software

ResumeFreak is a free website that helps develop great looking resumes in minutes. The user will see their chosen template update live as they enter their information into the required text fields. The resume can then be saved if a profile is created or downloaded as a pdf.

Tracking tasks with Azure Kinect

Our Capstone Project's goal was to utilize the motion tracking technology of the Microsoft Azure Kinect sensor to detect and analyze human movement. In particular, we focused on developing an application that can determine whether or not a participant is juggling and report this information back to the application's user.

Team Members:

Zachary Campanella, Daniel Collins, James Ruberto, Josef Merino, Joshua Dipert

Team Members:

Aaron Sycamore, Chris Carbajal, Jacob Babik, Kevin Shannon, Sergio Rodriguez

NASA Psyche Mission: Interdisciplinary Capstone Marketplace

The goal of the Interdisciplinary Capstone Marketplace website is to allow ASU students and faculty to connect with each other to work on academic projects. Faculty are able to publicly display their projects in order to find others to work with. Students can search through the website to find projects that match their skills and interests.

Share Love App

The Share Love App is a socially interactive app that is meant to promote viral generosity, by allowing users to be able to able to send out money to a random other user. Whenever a payment is sent out, it will be added to the social feed, and maybe inspire other user to "Share the Love" as well.

Team Members:

Yueya Ou, Jack Bryant, Brandon Valdivia, Matthew Tai

Team Members:

Alexsander Tash, Danlin Li, Diego Coss, Kirby Kuznia, Thomas Harris

Machine Learning Applied to Anomaly Detection

Our project applies DBSCAN to anomaly detection for devices part of the Coast Guard's Rescue 21 program.

Scholar Crawler

This is a web application that allows researchers to find valuable information about scholarly articles and research material from literary websites like Google Scholar and core.uk.ac. Information includes the author name, date of publishing, rating of the author, etc., and is stored in a database for better access.

Team Members:

Matthew Huff, Bo Johnson, Briar Carlile, Somesh Singh

Team Members:

Ryan Dunn, John Tiffany, Alekhya Hari

GDPR Simple Slack Bot

We brought a Slack bot back to life for a company and began to work on improvements, improving the user experience and integrating functionality between the bot and their web product. In addition to that, we got the bot ready for distribution on the Slack App Directory by setting up a web server, HTTPS, and redirect URL's.

Sogeti USA - Artificial Intelligence and Speech Analytics Dashboard

Our team designed a full stack web application that serves as a data analytics dashboard for call centers. It automatically processes calls, gathering sentiment information and representing to call agents. The agents and their supervisors can interact with the dashboard to view the data in a variety of way.

Team Members:

Ahmed Usman, Xinran Xie, Divesh Basina, Matthew Budiman, Saadiq Webster, Dalton Turner, Erick Ciudad

Team Members:

Russell Cleverly, Kyle Benda, Aditya Nair, Octavio Gonzalez

QBrownie: A QuickBooks Data Aggregator

Our project was to create a dashboard-style interface that aggregates QuickBooks data from many different companies in order to give executives a high-level overview of each company. This saves company executives immense amounts of time and makes their job more efficient, while giving them a perspective on their data that they wouldn't have otherwise.

Bat Recognition Engine

In order to monitor bat populations of the Sonoran Desert, the McDowell Sonoran Conservancy has created a process to count the emergence of bats using video. We built a software tool to fully automate this process. Using our tools, scientists can easily upload videos and receive meaningful statistics with the help of machine learning.

Team Members:

Ryan Kemmer, Jerimiah Kent, Michael Umholtz

Team Members:

Hudson Pace, Anibal Bojorquez, Larissa Pokam, Ryan Kittle, Trevor Angle

ThinQtv Android App

The goal of this project was to create (and add several custom features to) the ThinQ.tv app using Jitsi Meet’s open source code. Through the app, users can join video conferences, make changes to their ThinQ.tv account, donate to broadcasters, and more. The ThinQ.tv mobile app offers users the full ThinQ.tv experience.

ASU DeepRacer

DeepRacer is an AWS sponsored competition in which participants attempt to race a 1/18th scale racecar against other competitors. However, humans don’t drive this car, it is fully autonomous and uses the power of machine learning to make decisions regarding how it races. Over the past year we have been experimenting with reinforcement learning and deep neural networks to effectively train this vehicle to race around a track.

Team Members:

Paul Vohs, Michael Cai, William Bowers, Yun Hui Xu, Shashank Ginjpalli

Team Members:

Taylor Bart, Colin Weinstein

Passenger Arrival Analyzer

The project revolves around improving the accuracy of the models produced by the team. Our work revolved around the development of a more efficient object-detection algorithm. This eventually led to methods for creating and testing custom-annotated data sets.

PayPal: Listen to Data

This Python application converts time series data into a playable song, providing an alternative way to process information for those who are visually impaired or those who simply want to multitask

Team Members:

Rohan Ghiya, Ashwin Ravi, Jacob Richard, Augustus Crosby

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