Senior Projects 2025
Software Development Senior Projects 2025
Mubarak Ayantayo & Silas Green
“Attack on AI: Text-Analysis AI Website Detector”
Client: Kevin Moore and Jeff Matthies
This project is a full-stack application that detects AI-generated text and distinguishes it from human-written content. Users can paste text or a URL, and the tool analyzes the content, highlights AI-like patterns, and provides a confidence score. As the use of AI-Generated Text and Large Language Models (LLM's) begins to rise, it can raise concerns about the authenticity and credibility of sources we read online. The goal of this project is to ensure user's are reading from credible sources by detecting AI-Generated patterns and outputting where it occurs
With the current increased use in AI, our SWE clients have wanted to create a more accurate text pattern detection software to provide analysis on the source of web content to check if it is authentically human-generated or not. We were assigned that task, and we added other analysis reports like a plagiarism checker and possibly copyright detection. We're to develop this tool to give registered users more features than guests and a stretch goal of developing a different model calibrated by new metrics
Brett Bonner & Ryland Mata
“Medicaid Compasscare App”
Client: Abby Best (Medicaid Compasscare CEO)
After learning that there is no centralized platform dedicated to finding assisted living facilities that accept Medicaid or Maryland's Senior Assisted Living Subsidy (SALS), our client saw an opportunity to address this issue by revolutionizing the search for assisted living facilities. They aimed to create a centralized, user-friendly platform that offers real-time information. Currently, an excel sheet is used to manage all of the data for the assisted living facilities and must be manually updated with data for these facilities on their website. The goal of this project is to create a user-friendly web application that will provide an intuitive way for users to search for and access information on assisted living facilities, including their Medicaid Waiver and SALS certifications. Facilities will be listed via Google Maps, and users can view where facilities are located on the physical map. Users will also be able to contact facilities via email or phone number and receive notifications whenever a facility has updated their listing. The application will automatically pull data from the assisted living facilities' databases, clean said data, and update the listings in real time.
Jenna Borowy
“Improving Quantum Simulation in Time Efficiency and Scalability”
Research Advisor: Dr. David Hoe and Dr. David Binkley
This research project investigates novel approaches to quantum-circuit parallelization through circuit cutting and advanced parallelization of classical simulation. We explore the value of the Dask Python library to run parallelized simulated circuits on Loyola's HPC cluster.
Jack Formato & Chris Plowman
“ClearView App”
Client: Deirdre hammaker (CEO of ClearView Doors & Windows)
This project's aim is to create an internal window designer and CRM for ClearView Window & Door Company. The system allows employees to upload an image of a house, customize the windows and preview the changes. It also allows customers to track the progress of their jobs through the progress tracker. Customers can choose to receive email and/or text notifications for updates in their job status.
Will Grimmer & Emma Heiser
“Buck's Dog Training Scheduler”
Client: Lauraine Wright
Buck’s Dog Training Scheduler is a web application for Buck’s Dog Training of Central NJ, focusing on user-friendly appointment scheduling while also building the company’s online presence. This project is designed to enhance the existing features of their current Ember AI-made website and introduce new features for managing appointments for both employees and customers. Employees can create and manage client appointments through our website, allowing them to keep all appointments in a structured work schedule and calendar-like view for convenience and organization. Customers of Buck’s Dog Training of Central NJ will have access to view their appointment history, receive reminders for upcoming appointments, and get insights into their dogs’ training progress. Our project aims to improve the online experience of both employees and customers of Buck’s Dog Training of Central NJ, increasing efficiency with online scheduling and promoting the company’s brand and image for existing and potential customers.
Marley Holt-Williams & Christian Walsh
“Trend-Aware Recommendation Systems”
Research Advisor: Dr. Eric Cui
Trend-Aware Recommendation Systems is a research project with the goal of enhancing the effectiveness of recommendation systems. There is a large focus on integrating real world trends. Which includes things like social media hashtags and global events into recommendation algorithms to improve their accuracy. Standard metrics like RMSE, MAE, and precision/recall are used. A machine learning model will be built to progressively incorporating trend analysis with it. We will adapt to new insights and technologies to further enhance the relevance and application of the findings in real world settings.
Tim Hunt & Victoria Shelton
“Interactive Desk Aid”
Client: Cameron Hardy (PA House of Representatives, District Operations and Outreach Specialist)
The project proposed by the client is an interactive web application. Its purpose is to be a guide for district office staff when a constituent approaches requiring help with any number of issues. Essentially, it will be an interactive online desk aid adapted from an existing printed guide that uses problem-solving flowcharts. The website will give staff options based on these flowcharts, and staff will select the option that best describes the constituent’s issue. Once the end is reached, the website will return a solution in the form of a description, link, or contact information of a relevant department.
Callie Walker
“Using Combinatorial Frequency Differencing in Machine Learning”
Research Advisor: Dr. Megan Olsen
My research project focuses on how combinatorial techniques like combinatorial coverage
(CC) and combinatorial frequency differencing (CFD) can be used to understand datasets
and prepare them for training in ways that improve the machine learning process. In
an effort to explore additional ways we can use this metric in the field, we are working
to create a new train test split algorithm that incorporates CFD results when making
the training and testing datasets that will be used to train models.
Josh Adams & Chase Morrone
“Yellow Basket App”
Client: Jacob Greenberg (Technical Lead at Yellow Basket)
Yellow Basket wants to build a lighter-weight portal that Triman currently uses with the company. Triman’s portal is currently accessed by users with relationships in the company and requires a login system, onboarding a vendor, and managing per-user access. Yellow Basket wants a lighter-weight version that can be used for non-partner vendors and automatic PDF quote parsing.
Jake Hoogstrate
“Course Scheduling Software”
Client: Dr. Sibren Isaacman
The proposed project aims to develop a software application to create semester schedules. The system will streamline the scheduling process by considering faculty abilities, preferences, course requirements, and more. Faculty preferences may include course content expertise and availability, while global scheduling rules will also be accounted for. The client seeks to reduce the manual effort involved in creating schedules, ensure fairness in faculty assignments, and comply with administrative constraints.
Ayoposi Olu-Bamisaye & Jonathan Ramos Romero
“The Detailer's Edge”
Client: Emerson Jordan (Owner of The Detailer's Edge)
Our client is seeking to improve his business’s online presence and streamline his appointment scheduling process. Our project is to build a website to provide his customers an easy to understand and efficient way to schedule appointments. Automating the scheduling process through a user-friendly website will help the business to save time, improve overall customer satisfaction, and attract new ones through its professional image. Additionally, the website will serve as a portfolio for the business to showcase the quality of their work. The website will also improve the company’s credibility and trustworthiness by showing customer testimonials and reviews.
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