CS/CSE/IE Capstone
CS/CSE/IE Capstone
Team Members are:
Scott Sangmanee, Jackson Raiff, Itzel Aguilar Coconi
The goal of our project was to perform a thorough lifecycle analysis on critical pieces of equipment at the Fairmont Princess Resort. We identified patterns in equipment use and failure rates, setting the groundwork for more informed maintenance strategies. Our goal was to enable the resort to reduce downtime and costs while maintaining a commitment to guest satisfaction.
Team Members are:
Ayham Dewan, Shrey Garg, YungLing Liu, Isha Sathe, Tejal Tripathi
This project aims to develop an advanced Automated Inventory System that efficiently caters to the distinct needs of inventory management, engineering, and retail sales. The purpose is to streamline the hotel operations and enhance guest experience.
Team Members are:
America Mendoza, Alexandra Hieber, Saleh Alrajhi
The Fairmont Princess presents financial and environmental challenges calling for a structured food waste management approach. The luxury resort caters to both banquet events and fine dining, producing a large amount of food waste. The goal of the project was to offer both cost savings and shifts in environmental awareness of food waste.
Team Members are:
Levi Tahan, Ariel Teo, Jose Castro
At the Fairmont Scottsdale Princess, efficient handling of employee uniforms is required for smooth operations and maintaining a professional appearance. The Laundry Department Process Optimization project aimed to improve uniform valet operations, which is a crucial service for issuing, collecting, laundering, and storing employee uniforms
Team Members are:
Marlee Ferber, Kyle Delasandro
In partnership with ASU’s Innovation Space, working with local non-profit Keep Tempe Beautiful, we are prototyping Zero-Waste ideas for the Tempe City Roots Musical Festival, set to happen in April 2025.
Team Members are:
Alexis Holland, Jacob Staub, Michael Morse
Our project improved the handling of Transuranic (TRU) waste at Los Alamos National Laboratory by using SIMIO simulation software to model and enhance waste management processes, and developing a digital tool to precisely calculate waste "Attractiveness Level." These innovations significantly increased efficiency and safety in high-level waste disposal, demonstrating that such technological integrations can greatly benefit waste management at federal research facilities.
Team Members are:
Caleb Perkins, Aryzema Urrutia, Blakely Balzer
A recent change in scope at Los Alamos National Laboratories has resulted in an influx of people arriving throughout the day, causing the current entry process to be inefficient. The process must be reworked and streamlined to reduce the average time spent in the system. A virtual model of the ingress and egress processes was created using SIMIO simulation software.
Team Members are:
Alex Edmiston, Chase Couvillion, Mishelle Arzapalo
Utilization of AI and machine learning to analyze government regulations and increase operational capabilities
Team Members are:
Carter Eaton, Mansour Alkhoori
MCMsearch.com is an online searchable database that filters window models by performance specifications. It is accessible from anywhere and allows employees to search thousands of windows instantly.
Team Members are:
Katelyn Ngo, Santos Quintero, Anushak Sharma
With SCAI growing, the Brickyard building space has become a major constraint. We created 3 databases that auto-populate assigned faculty and assigned students to the corresponding cubicle lab. We have also included utilization and funding ratio as well as visual color cues to help eliminate the time it takes Lincoln to pull the information he needs as well as make more informed decisions on how to reallocate and optimize the available space.
Team Members are:
Michael Bird, Musaad Aldawsari, Faisal Alharbi
Our project focused on understanding and analyzing Salt River Projects’ current reel tracking processes. These reels hold electrical cables that SRP uses to power the greater phoenix valley and currently they have 2 years to use and return these steel reels to ensure they get a $2000 credit. Our group and the sponsor, Ashif Iquebal, determined why these reels werent being returned on time and how to improve efficiencies
Team Members are:
Coben Bourguet, Mohamed Almazrouei, Karla Diaz Aguilar
The Sun Devils Women's Volleyball team utilizes an athletic movement screening system, Valor by Brave Biomechanics, to observe volleyball players' range and quality of motion. Using this athletic screening system aids in preventing injury and improving athletic performance. Our team created a Canvas course of tutorials on how to use Valor, and we reduced the general movement screening time.
Team Members are:
Ilan Chmelnik, Jorge Frausto, Alabbas Al Harthi
The Capstone project involved developing and implementing an Excel-based downtime tracker for Bristol Myers Squibb, a leading biopharmaceutical company. This tool aimed to provide comprehensive visualizations of long-term downtime data within the plant to enhance decision-making processes at BMS.
Team Members are:
Trevor W. Smith, Lauren Cooper, Logan Nipar
Our objective for our sponsor Collins Aerospace was to develop and deliver a discrete simulation model of an assembly line in the Collins Aerospace factory. The aim of the simulation is to do sensitivity analysis given process paramaters such as cycle time and first pass yield and how these inputs affect the total cost of quality and the operational costs as a whole.
Team Members are:
William Bustraan, Logan Enyeart, Tyler Rowe
Sponsored by Jacobs Technology out of Kennedy Space Center as part of the NASA COMET Contract and Artemis Program. Transitioning the document based design review process, KDP-P-2713, into an MBSE style model using MagicDraw SysML and Velocity Templating Language. Enhancing efficiency and quality through document update automation, system requirement interconnection and enhanced knowledge capture of system experts.
Team Members are:
Stephanie Heim, Oguz Kenes, Tyler Thornton
The senior capstone design team was partnered with organization Prime Solution Group to work on the project, “Lighting Imaging System (LIS) Model using a Digital Engineering Model-based System Engineering (DEMSE)”. The project required the students to develop a framework for a simulation model of a Neuromorphic camera within the cloud based program Innoslate that would eventually be imported to a PSG server for final integration of a digital twin. The capstone team was also expected to develop System and digital engineering techniques as the project progressed.
Team Members are:
Harold Rogers, Jonah Meretsky, James Buckley
Parker Hannifin tasked our capstone team with increasing the efficiency of their Clean, Check, and Test value stream by twenty percent and reducing their footprint by twenty percent. With the help of our sponsor and our educational background, we decided to use lean manufacturing methods to achieve these goals and solve problems along the way. Our biggest conclusive deliverables we met were multiple floor layout designs, an updated value stream map, and new process procedures/updates.
Team Members are:
Ibrahim Elaradi, Omer Almohammadi, Osamah Alqahtani, Abdullah Alrasheed
Enhance waste sorting efficiency and increase recycling rates at SRP through advanced methods. Ensure regulatory compliance and foster sustainability awareness among employees. Ultimately, create a more efficient and environmentally conscious waste management system.
Team Members are:
Hriday Gupta, Haoyu Wang, Khalid Almattar
This Supply Chain Allocation project for Honeywell Aerospace optimizes lead times and profits amid rising product demand. Leveraging Python for data-centric analysis, it establishes a linear programming model and employs Sankey Visualization to streamline allocation processes at the Honeywell site.
Team Members are:
Mohamed Alhajeri
Directed Energy Deposition (DED) stands at the forefront of a manufacturing revolution, offering diverse industries a highly versatile additive manufacturing technology. DED's adaptability to various materials, reduced lead times, cost-effective, sustainable production make it a game changer in manufacturing. Our team will research the monitoring and control sensors used in DED and evaluate them to highlight and identify which sensors or components work best for the task at hand.
Team Members are:
Abdulaziz Alrajhi, Colby Arlington
This project was introduced to our group as a supply uncertainty problem. This is a value that had to be computed to give an accurate estimate of how certain an order would arrive on the date requested for it to be delivered. The main approach to find this statistic was to code in Python. Then putting the code into a graph format to easily communicate with anyone that could see it useful. The visualization of supply uncertainty works for almost all of the order IDs provided for this project and can be used to forecast and better prepare for uncertainty.
Team Members are:
Jack Pletka, Jonathan Parilla, Keb Summers, Sukul Handa, Greeshma Challaram
This capstone project involves developing a web-based game in partnership with NASA. It's designed to be a fun and educational tool, helping students learn about NASA's recent mission to the asteroid Psyche. The game features a retro 2D style and is being built using the Godot 4 engine.
Team Members are:
Lauren Birely, Raquel Anchia Lopez
Intel's Fab Construction Enterprise Tool Installation team is dedicated to defining the maximum levels of efficiency of trade crews by doing direct observations. This will allow the productivity team to identify the leading causes of waste to then reallocate resources and/or educate our trade partners to become the most efficient and safest crews to install manufacturing equipment inside the new Fab.
Team Members are:
Kyle Villa, Asher Baptista, Nicholas Shaw, Cameron Sharp, Joshua Inman
A database hosted on Docker that manages the 3D prints for the ASU 3D print lab. The database is accessed using c# and two react.js websites for the frontend.
Team Members are:
Zachary Habib, Thomas Derr, Nathan Lind
Project persona is a service intended for all types of game developers that gives them the ability to create more advanced and personalized non-playable characters within their games. It utilizes the power of OpenAI’s ChatGPT to imitate the personality of a certain character based on the parameters given by the developer themselves. The project itself consists of a fully functional interface where the developer can create and save stories, personas, scenes, and more that can then be utilized into their own games.
Team Members are:
Sheil Patel, Alejandro Briones, Christopher Kontsis
Our software takes in a user inputted song name and artist and outputs a song that the system thinks is a similar or related song to the one that was inputted.
Team Members are:
Varun Ravi Kumar, Alexander Rotteveel, James Rausch
Amazon Web Service Explorer enhances the user experience for AWS S3 by providing an intuitive interface where users can preview the contents of their S3 buckets without getting charged retrieval fees. Users have the flexibility to view either their personal buckets or all buckets associated with their organization, facilitating better data management and oversight. Additional features include the ability to delete owned buckets and merge buckets and downloading their data directly from our service, streamlining storage management and optimization.
Team Members are:
Alexander Nguyen, Blaise Harper, Isaac Paschall, Javier Aguilar, Rayhan Wilangkara
Our team built a streaming platform using the MERN stack. On the client side we are using React hosted with Vercel. This architecture ensures smooth interaction between the client and Node server, which is built on Express and supported by a Mongo NoSQL database for efficient data handling.
Team Members are:
Sushrut Ghosal, Pavit Bagga, Alexander Burton
We created an athlete management system for the ASU women's volleyball team. This includes a PowerBI dashboard showing important player and team stats alongside natural language analytics for easy interpretation and decision making. We also developed an injury prevention system in Python using predictive machine learning.
Team Members are:
Jacob Clemente, Ricky Das, Andrew Klitsch, Joseph Olakkengil
Arrow Electronics tasked us with reviewing their label printing process and designing a website to automate their label printing. The printing website we created is our final deliverable to Arrow.
Team Members are:
Adi Keshava Reddy Mamilla, Emmanuel Cortes Castaneda, Holden Clarke, Luis Medina, Zackary Guajardo
Developing a deep learning model to relate environmental parameters to physical plant features
Team Members are:
Jayson Albizures, Jordan Eiselt, Nicholas Hildebrant, Nicholas Johnson, Dipanshu Singh,
Our project is automating a drone to navigate through a small greenhouse and placing waypoints at points of interest. The project will be used in conjunction with other Astroseed groups to create a mobile plant monitoring.
Team Members are:
Abel Haddis, Sarah Waltz, jawuan Lewis, Zhenggang_Zhao
We are creating a web application designed to make it easier for users of the Astro Seed Terra Pod to make decisions about their crops quickly and effectively.
Team Members are:
Alejandro Herrera, Al Faisal Al-Maawali, Meriam Narouz, Munachimso Aneke, Sasank Chowdary Arekapudi
Astro Seed - GreenMart Marketplace is an online platform designed to connect local Terra Pod growers with buyers seeking fresh, locally grown produce. By simplifying transactions and promoting sustainable agricultural practices, it addresses the challenges of market access and direct sales in the agriculture sector. This marketplace enhances community engagement and supports healthier, more sustainable eating habits by making local foods more accessible.
Team Members are:
Drew Christner, Satvik Panchal, Aidan Simkins, Nathan Cluff, Samarth Dev
This project involves developing a machine learning model designed to analyze images of Lettuce plants and assess their health. Our model accurately identifies various conditions, including six diseases and three nutrient deficiencies, achieving an impressive accuracy rate of 98.53%.
Team Members are:
Laela Olsen, Louys Gackstetter, Ian Carlson, Berenice Caudillo Mena, Keval Shah
The Green Lens is a convolutional neural network model capable of identifying thirty different species of plants using image samples. In addition to creating this model, our team compiled a database of over 60,000 images for the purposes of training and testing the model. Using various machine learning techniques, the Green Lens model achieved an accuracy of 91.72% over all 30 classes.
Team Members are:
Andrew Gantner, Zakery Collins, Ahnaf Chowdhury, Jesse Purice
Our project set out to create realistic traffic conditions inside of the VIPLE traffic simulator with dynamic routing. This requires gathering realistic data, creating a machine learning model, and injecting the traffic data into the simulator for the Dijkstra's algorithm calculations.
Team Members are:
Ayan Gautam, Medhansh Garg, Shashank Buddhdev, Sashrik Rajesh, Rajeev Vemuri, Marisa Slepack, Jereane Cachola, William Latus
This project involved creating a Judging application for ASU, which helps in Event Management. Using the app a person can host events, add participants and groups to it, customize grading criterias and invite Judges to score the projects. It proves to be a one stop solution for hosting Events.
Team Members are:
Aeric Plitz, Colton Onishi, Ethan Park, Franco De Porzi, and Steven Nguyen
Arizona State University currently lacks a ridesharing app dedicated to its students. Our project is a student-based web application that allows ASU students to arrange rides with one another. The front-end interface was developed using React, while the Express library was utilized for the backend infrastructure.
Team Members are:
Alexander Guha, Adithya Chandramouli, Thomas Tung, Surya K. Rayala, and Ashish G. Deshpande
A class-specific question answering system for students, utilizing machine learning and generative AI.
Team Members are:
Denis Liu, Branden Yang
Fuzzing is an innovative method of finding bugs and vulnerabilities in a program, which involves using a high amount of randomness to modify and mutate program inputs. As a result, fuzzing is more of an art than a science. In order to make the development of fuzzing more structured and procedural, this project aims to introduce a framework which can inject itself into a fuzzer so that the necessary metadata for replaying a fuzz run is collected and can be replayed.
Team Members are:
James Fink, James Weber, Ben Bloomgren, Blake Anderson
Mid-air haptics are tactile sensations you can feel in midair, without needing to come into direct contact with any physical device. Our team developed an ultrasonic phased array which coordinates the phase delays of an array of ultrasonic transducers to create highly pressurized focal points for mid-air haptics. These focal points can shift rapidly in temporal space, allowing varied feedback for enhancing touchless user interaction across diverse mediums.
Team Members are:
Siddhartha Yalamanchili, Hao Zhen
Automated Hydroponics System is a project with the goal of creating an inexpensive and simpler alternative to modern hydroponics systems intended for use by a hydroponics hobbyist. Through use of services such as Firebase, Adafruit.io, and Raspberry Pi, we have created a system that takes sensor data and dispalys it in an easy to understand manner for beginners.
Team Members are:
Ravi Tiwari, Adam Amirkulov, Srinidhi Budhiraju
Our project integrates timekeeping features into the Discovery Kit system, enabling enthusiasts to explore microcontroller capabilities effortlessly. Through meticulous development and testing, we've ensured accurate time display on both the console and the 7-segment display, fostering curiosity and innovation in the field.
Team Members are:
Ariq Haqq, Sahil Sharma
Our project had two major parts, a) Run experimental variations on a quantum adaptive algorithm to determine which variation is the most efficient and b) create a streamlined tool where users can directly edit hyper-parameters to test their own variations of quantum algorithms.
Team Members are:
Jackson Wakefield, Jacob Licko
We created this website! The site showcases all CS/CSE/IE Capstone projects and students' work over the last 2 semesters. We also created the survey that students filled out which contains the information in this site and helps ASU professors prepare for the in-person showcase.
Team Members are:
Simon Liu, Wael Krdi
This project is a full-stack web application for ASU capstone capstone proposal submissions. The original website uses Google Sites and Google Sheets, which makes it difficult to run scripts on. We created this web application to solve this issue, utilizing React and Laravel for front-end and back-end and a MySQL database to store all submissions.
Team Members are:
Javier Garcia, Marc Sagario, Leon Tran
Manual end-to-end regression testing for in-development web software, followed by the creation of automatic testing scripts using the automation library Playwright. These automatic tests allow developers to verify whether their web software is functioning normally or identify where a problem in the software might be.
Team Members are:
Geethika Yadlapati, Salih Arman Gundogan, Weed Batarfi, Olivia Eppert, Aarya Mathreja
Discover your perfect roommate with Devils' Den! This innovative app for students simplifies the search by using a matching algorithm to connect you with like-minded peers, equipped with ASU authentication for extra safety and exclusivity. Instant messaging makes communication a breeze, ensuring you find your ideal roomie effortlessly!
Team Members are:
Zane Schenk, Jagger Verdugo, Jason Roberts
Our full-stack project included building a website from scratch, optimizing and migrating a python script to an API, and database design. We were also responsible for testing and deploying our project using a custom Linux server on ASU's Tempe campus.
Team Members are:
Andrew Hudson, Daniel Burgin, Jerrian Tocmo, Minh Khang Nguyen
Digiclips is a multimedia search engine that lets you search social media, newspapers, magazines etc. simultaneously. Along with providing analytics, Digiclips aims to provide a complete picture of results for a particular query through use of multiple sources as mentioned above. Digiclips also provides email alerts for subscribers that constantly keep you updated on important queries.
Team Members are:
Austin Christiansen, Jackson Rhea, Logan Ellsworth
A mobile application to store ingredients, create lists and recipes, and generate new recipes with your ingredients. All with household sharing. Benefit from home cooking, reduced food waste, and better communication with everyone at the dinner table.
Team Members are:
Genevieve Cooper, Ryan Skabelund
DORA is a Deployable Optical Receiver Array Cubesat created by ASU students, JPL, NASA and several other industry partners. The purpose of DORA is to increase connections of Spacecrafts by using a SWARMing method to communicate. Using HAM Radio and Optical Transceivers, DORA reduces the Deep Space Network load of other Satellites and itself.
Team Members are:
Ghaida Almalki, Ariel Gutierrez, Henry Reed, Nikita Salikov, Jennifer Yan
The interactive communication portal aims to link businesses and users together with a simple chat interface. Users and businesses will be able to have real-time feedback when they send each other messages. A website and mobile application were developed for this project.
Team Members are:
Salvatore Carcerano, Josue Hernandez Aguilar, Jash Sehul Daftary
his project aimed to enhance inventory management at Fairmont Scottsdale Princess by implementing innovative systems and optimizing warehouse layouts. We addressed challenges related to inefficient tracking, accessibility, and setup of event-specific inventory. Our approach involved centralizing inventory, implementing automated systems, and providing staff training.
Team Members are:
Race Musgrave, Nicholas Toland, William Crabtree, Jesus Encinas, Devin Ath
The overall goal of the project was to create an app to assist hotel guests in accessing information and navigating the hotel property. Ultimately the focus became hotel navigation through the mode of Apple’s indoor maps and an iOS app to display this map. This process involves taking the hotel's floor plans, converting them through an intensive process to a format called IMDF and then embedding the map file into the app.
Team Members are:
William Yeager, Kendall Budd, Aria Lilabady, Abdullah Arojojoye, Dikshita Bazarbaruah
Our project created a predictive maintenance model and life cycle analysis for all operations at the Fairmont Scottsdale Princess resort. The life cycle analysis models all machine replacement and maintenance. This provides the backbone for our predictive maintenance model, which gives a regimented plan to keep operations at the resort running as smooth as possible.
Team Members are:
Kay Tuan Schnulo, Ellis Totman, Dhruv Anand, Punit Sai Arani, Patrick Lu
Assist in information access from an extensive collection of PDF maintenance manuals for staff to help streamline operations via a chatbot that can understand diverse user queries and return accurate, relevant information from a multitude of document sources.
Team Members are:
Aditi Rai, Asra Mohiuddin, Mohammed AlghufailI, Trey Schmieder
In a world increasingly driven by technology, the Fourcher Technologies Senior Tech Support AI project seeks to address the unique challenges faced by seniors in navigating the digital landscape. The primary purpose of this project is to empower seniors with a tool that simplifies their interaction with technology. By providing tailored assistance, our AI solution aims to assist seniors in overcoming hurdles such as troubleshooting issues, navigating the internet, and accessing information effectively.
Team Members are:
Tyler Allison, Erik Cochran, Sam Cool, Abdurazak Mahamoud, Anthony Rodi
Our team has created a virtual reality simulation of the visual symptoms caused by Alzheimer's. The goal of our simulation is to create empathy for those who suffer from this disease.
Team Members are:
Kevin Le, Stephen Austria, Zoe Alinea, Miles Koehnemann
Our project was to create a tool that is easy to use with all the functionality necessary for asset management. This tool integrates a relational database with a user-friendly interface, enabling seamless tracking and management of assets. Its customization options and user profiles promise to enhance team organization and productivity.
Team Members are:
Jonathan Zhao, Vincent Wu, Jeffery Frederic
In this project, we redesign the Xilinx ZynqMP Ultrascale+ FSBL to support self-extraction and self-relocation. In addition, we implement a proof-of-concept for the full PetaLinux secure boot for ZCU106 and ZCU102.
Team Members are:
Lance Wilhelm, Brandon Fenske, Caelan Desmond, Josh Budd, Maaz Chohan
We used a drone based platform to work with General Dynamics and the Coast Guard in order to calibrate their rescue towers. Overall, we made a system to calibrate the towers along with an automatic system for being able to post process the data.
Team Members are:
Dylan Dunning, Pranav Mittal, Rock Palmer, Brandon Garciagomez
A Smart Braking solution for RC vehicles emulating Global Sensor Systems' full-scale version to drive engagement at trade shows and expos.
Team Members are:
Alexander Rickman, Alexander Hassler, Ahmed Alqahtan, Tyler Morgan
Developing a remote-controlled demo truck featuring an integrated sensor and braking system for effective product demonstrations at conferences. The truck will automatically brake while in reverse when approaching an object, this replicates Global Sensor Systems' real-life product placed on large machinery.
Team Members are:
Jonah Reese, Jack Cruz, Anish Nahar, Daniel Tjandra, Zachary Snider
Development of a vision-based system that can track the movement of objects in a scene and display the output of the model using a user-friendly and accessible UI.
Team Members are:
Ashley Nichols, Keya Gholap, Shardul Dhaul, John Baker, Yonatan Rosenbloom
This project involved creating a feed forward neural network to improve ETA metrics for flights from Phoenix to Las Vegas. This process included creating webscrapers to gather opensource data, researching flight planning practices, and creating a UI to integrate the final product.
Team Members are:
Charley Tran, Jeffrey Chen, Ka Wai Szeto, Ashwin Gulaya, Jeff Byju, Brian Zhen
Our team was tasked with creating a new website for the restaurant brand Hong Kong Kitchen. The website was built with React and Node.js to create the front end of the webpage. This website is deployed in a live setting with a fully functional homepage, menu, contact page, and ordering system.
Team Members are:
Roshni Deb, Justin Kereszturi, Benjamin Jackson, Alondra Contreras, Burhan Barafwala
Gleo is a cutting-edge social media platform that encourages and rewards users for taking part in community-related activities like volunteering and civic engagement. The central feature of the Gleo platform is its point-based reward system, which enables users to accrue and exchange points for different rewards provided by affiliated companies, enhancing community participation and teamwork. This strategy promotes community growth by fostering relationships with nearby businesses and encouraging active participation.
Team Members are:
Sameer Reza, Nittin Ashok Murugan, Philip Yu, Ryan El-Aawar, Naomi Sano
An MVP data pipeline that takes a list of company websites and analyzes them to find a wide array of relevant information on each company based off of the given schema for later analysis. We couple a scrapy web scraper & an OpenAI integrated information extractor to generate consistent structured JSON data from the fuzzy chaos of the web.
Team Members are:
Ethan Hubbard, Rini Jain, Anant Rastogi, Carson Streiff, Taman Truong
In this project, we designed and developed a comprehensive home automation system that centralizes control, synchronizes audio, enhances privacy, enables voice-activated commands, and provides tailored automation recommendations to optimize daily living experiences. Using open-source resources and a Raspberry Pi, we were able to create a cheap, yet robust and improved, version of an internet-of-things (IoT) hub with a companion mobile application to power our functionalities. Our interactive graphical user interface and mobile application allows users to operate the hub both at home and on the go!
Team Members are:
Kaitlyn Martinez , Eathan Ong, and Spencer Ozgur
BugEyes is an internet of things insect hotel that houses, tracks, and informs consumers about the threatened Monarch butterfly species.
Team Members are:
Arnav Sangelkar, Enan Ahmed, Liam Douglas
Ireland Outfitters is an equipment rental company that provides hiking and camping equipment for people visiting Ireland. To help in this mission, we created a website that allows customers to book rentals online.
Team Members are:
Dylan Dalal, James McCune, Waleed Khalid A Alsharari, David Parra
Lenzya is a geocentric creative talent platform that helps bridge the gap between freelancers and clients for in person events. Our goal is to eliminate the predatory pricing models of other freelancing platforms and allow for transparent booking and payments.
Team Members are:
Andrew Byers, Brandon Tsai, Ryan Powell, Christopher Merriman
MAG's original application was a Windows Project Foundation using a C# application to house all functionality on both the front and back end, causing a multitude of issues. Over the past 2 semesters, our main goal was to transition this to an ASPNET MVC application to provide a nicer looking front end and a reworked SQL database to fix their improper data and potential data fixes.
Team Members are:
Navya Gangrade, Ariadne Dimarogona, Hari Ramalingame, Rafael Gan, Brad Peterson
Some reviews (especially those low score reviews) can be very discouraging (negative), which can lead to unintentional psychological damage (e.g. anxiety or depression) to the authors. Our goal here is to identify the toxicity in the initial paper review and edit the review which still maintains the feedback and suggestions of the initial review but written in a friendly and courageous tone.
Team Members are:
Manav Shah, Mudit Arora, Nathaniel Bandemer, Priyanka Tadepalli, Tiffany Ticlo
We developed NLP models that extract social determinants of health from discharge summaries. These SDOHs are often missing from hospital records, and provides valuable insight into the social history of a patient which can be critical for proper care.
Team Members are:
Richard Callahan, Allen Lin, Aleksandr Cooper, Zachary White, Orion Dobos, Luke Philipps
The Haptic Media Controller is a portable control panel designed to enhance user interaction within Dreamscape Learn. This device allows users to control various aspects of their virtual environment right at their fingertips, from animations and video media to programmable environmental changes.
Team Members are:
Nathaniel Alberti, Aiko Muraishi
Our goal in the Microbial Metabolism Modeling project was to improve a computational tool that researchers could employ to simulate networks of microbiological metabolism. The lab's ultimate objective is to establish a sustainable manufacturing process by creating a way to produce chemicals from microorganism's metabolism efficiently. To that end, we started by designing a MATLAB tool's GUI and enhancing its simulation accuracy.
Team Members are:
Jace Kocsis, Harikrishna Kommineni, Pei-En Pan, Dylan Wynne, Cole Krause
NASA PSyche 12D consisted of the development of an educational web based game, Alloy Explore, that serves to raise awareness of the Psyche mission.
Team Members are:
Avneet Ahuja, Om Shewale, Curtis Weber, Radhesh Choudhary, Jonny Duong
A web based game developed in Unity3D to educate people about NASA's Psyche Mission.
Team Members are:
Jack Pletka, Keb Summers, Sukul Handa, Greeshma Challaram, Jonathan Parilla
This capstone project involves developing a web-based game in partnership with NASA. It's designed to be a fun and educational tool, helping students learn about NASA's recent mission to the asteroid Psyche. The game features a retro 2D style and is being built using the Godot 4 engine.
Team Members are:
Neha Balamurugan, Julie Kye, Leo-Paul Morel, Garrett Goodwin, Pratham Gupta, Maiya Shefik
Astro Academy aims to ignite a passion for science and space in young learners. It is an interactive web game where the player embarks on a journey to Psyche using animated cutscenes, challenging navigation, and educational quizzes.
Team Members are:
Joaquin Uribe, Amanda Holt, Phil Terrani, Parth Rawat, Saadhana Srikar
A NASA Web Based Game called "Galactic Capitalist", that engages the user with a clicker style game that unlocks "classified" information about the Psyche Mission. The game educates the player about the mission ranging from facts of the spacecraft to the metallic asteroid.
Team Members are:
Brian Cole, Dadmehr Safara, Maria De Jesus Rizo, Kristoffer Nikko Deblois Jarme
A web-based game for all ages designed to help inform the public about NASA's Psyche mission. After your cows wreak havoc on the nearby psyche launch recreation, your task is to explore nearby planets to collect the lost satellite pieces. Explore 3D levels while learning about the components of the satellite that is being sent to investigate Psyche!
Team Members are:
Shivank Agrawal, Yagyna Gupta, Khoi Tran, Vikram Dattari
For this project, we worked with the OWL foundation on the ClusterDuck Protocol on two key pieces of functionality. First, we created more sensor integrations to ease the new developer onboarding experience and ensure compatibility with different sensors. Second, we enhanced their SpaceDucks data analytics page by adding real-time visualizations and a prediction system for where the payload would land.
Team Members are:
Tianyu Dong, Brent Conrad Soliman, Nathan Jayanthan, Vincent Ortiz, Bhargav Chirravuri
The project aims to develop an automated chart comparison system to enhance the efficiency and accuracy of an existing PDF Comparison Utility. The current chart comparison process is time-consuming and requires supervision, leading to potential errors and inefficiencies. The proposed solution involves leveraging AI techniques to automate and optimize the chart comparison process and reporting, reducing manual effort and improving overall chart management.
Team Members are:
Dac Le, Justin Young, Christopher Kim, Saad Kadhi, Luna Stephenson
The Threat Awareness Project is a model designed to detect car objects and provide notifications to pedestrians via an app, indicating whether it's safe to cross crosswalks. The video showcases the model in action, demonstrating its detection capabilities and the feedback provided through the application.
Team Members are:
Alexandr Zincenko, Ananya Garg, Eduardo Ortiz Rosas, Harrison Lisk, Nathan Suman
The Non-Traditional Communication Channels aims to develop an innovative communication method characterized by its anonymity and currently available security between two active clients. To meet our projects requirements, we conducted rigorous research on existing secure communication channels to conceptualize our own novel network architecture. The entire system was then implemented in Python, utilizing a combination of cryptographic algorithms to ensure confidentiality, message integrity and client anonymity within the created communication channel.
Team Members are:
Angelina Hobbs, Lucas Klusty, Luis Molina, Carson Linzbach
The Object Tracking and Locating project develops a computer vision-based system for detecting and tracking animals, suitable for both household pets and wildlife. It uses custom-trained machine learning models to process live and recorded video footage. Key features include annotated footage, a detailed log of animal detections with timestamps, a customizable notification system for live feed detections, and a graph that comprehensively visualizes these detections over time.
Team Members are:
Bryan Peterson, Jose Loya contreras, Shourya Srivastava
Planet Fintech/Fintech411 is a website focused on capitalizing on the booming Fintech industry by creating an easy to use job board solely on fintech.
Team Members are:
Yongzai Xuan, Saud Al Kalbani, Dev Malik, Edgar Aquino Barrientos
Develop an application inspired by Playforever's official website, with an emphasis on a user-friendly GUI and UI design to ensure effortless navigation and engagement. Organize distinct sections dedicated to program details, volunteer opportunities, upcoming events, and donation avenues, facilitating intuitive access to each aspect of the platform.
Team Members are:
Nguyen Nguyen, Eric Gomez-Flores, Hassan Alkaabi, Charmi Patel, Aparajita Limaye
Return Pal is a return service and a social enterprise for Play Forever, which is dedicated to providing structured and accessible recreation, education, and mental health services to youth. We are looking to develop an app for both iOS and Google Store platforms. The app should include features such as user sign-up (e.g., Google login), online scheduling (pick up date and address), payment processing, and shipping information from the sender.
Team Members are:
Peter Vargas, Melissa Breguez, Erin McCann, Ethan Nicholson, Victor Truong
This project involved creating a Bluetooth wayfinding app tailored for students navigating large campuses and complex buildings. The aim was to facilitate easy navigation to important landmarks like buildings, classrooms, water fountains, and food options, ultimately improving the overall campus experience for students.
Team Members are:
Spencer Whitefoot, Nash Carlow, Abhinav Koyyalamudi
Reality Articulated is a revolutionary platform reshaping the therapy landscape by enabling patients to journal their thoughts and emotions directly within the app. These entries are securely shared with therapists, providing valuable insights into patients' mental states. Through summarized entries and advanced analytics, therapists can offer personalized guidance and deeper understanding during sessions, fostering profound personal growth and healing
Team Members are:
Riley Annon, Yiyang Wang, Fenglin Zhang, Logan Ferrera, Andi Lian
ASU-exclusive dating app built with Node.js, Python, and React Native to foster student relationships and meanwhile gather data to be used in research for ASU's Relationships and Technology Lab.
Team Members are:
Trevor Price, Charles Tripp
Simwerx is building Medic Copilot: A decision support & logistical guidance system for pre-hospital multi-casualty care. This Dockerized microservice is a part of that effort as it will generate casualty scenario variants, run them through physiology engines that output simulated patient telemetry, and store all the data produced in a data lake for future processing. Ultimately, the casualty scenario simulation database will enable Machine Learning research and development efforts to train a variety of models
Team Members are:
Dimitri Archipov, Leon Kwong, Sloan Cooney, Ryan Gore, and Jayden Ginoza
Investment web application that leverages probabilities to help users make and practice investment decisions and to guide them about what strategies to employ. Users will input investments and as they add more information to the platform, they will be able to see strategies for those investments. This project creates an application that is easy to read and easily navigable.
Team Members are:
Adam Karman, Vincent Leong, Faisal Aloraini, Faisal Alaklabi, Likhit Yarramsetti
A platform for consumers to find and provide reviews on a variety of products and services. Businesses can also purchase access to these reviews in data format to use for business analytics
Team Members are:
Faisal Alfawaz, Mazen Alzahrani, Waleed Altamimi, Saleh Alkredes.
OUReports revolutionizes data analysis for organizations with its cutting-edge Online Data Analytics and Reporting capabilities. Its intuitive interface facilitates seamless generation of insightful reports, charts, and dashboards, empowering users to make informed decisions based on data-driven insights. By fostering a data-driven decision-making culture, OUReports enhances organizational efficiency and effectiveness.
Team Members are:
Darius Sanders, Tong Guan, Craig Wilson, Jose Gamez, Bekzat Nadir
Redesign multiple web pages with modern UI functions and graphics. Implement functional features/changes to existing web pages.