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- Creators: Computer Science and Engineering Program
Description
As a brand-new social media platform, Ink-bloom has analytics requirements that fall outside of the normal range covered by existing analytics tools. Additionally, the lack of analytics and data science expertise on the permanent Ink-bloom team necessitates a simpler approach to analytics presentation. As such, this thesis aims to produce an easy to use, integrated analytics tool for use in the product testing stage of the Ink-bloom website. It includes features such as unique visit tracking, bounce-rate calculation, and a dynamically generated clustering algorithm to group user behaviors across the platform
ContributorsGoswick, Logan (Author) / Meuth, Ryan (Thesis director) / Hsu, Ray (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2025-05
Description
This thesis presents Translatica, a modular speech-to-speech translation (S2ST) system
that preserves both linguistic meaning and the speaker’s vocal identity across languages. Alongside developing a working prototype, this work surveys the landscape of S2ST methods and motivates the choice of a modular architecture over direct approaches, emphasizing flexibility, interpretability, and voice fidelity. The system combines state-of-the-art tools in transcription, translation, and voice synthesis to enable expressive, speaker-preserving dubbing of prerecorded videos. Through implementation and evaluation, the thesis explores the trade-offs between accuracy, latency, and control, demonstrating how modular design enables customization for diverse use cases. Future work includes real-time translation, enhanced speaker tracking, and applications in education and live media.
ContributorsJhaj, Baaz (Author) / Ramani, Krishna (Co-author) / Hsu, Jeffrey (Co-author) / Osburn, Steven (Thesis director) / Zhu, Haolin (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2025-05
Description
This paper investigates the relationship between professional sports teams and local crime rates in their host cities, attempting to address a gap in the literature that predominantly focuses on the economic impact of sports. Through statistical analysis of daily crime data from three paragons of United States sports culture (Dallas, Boston, and Philadelphia), this research will examine relationships between home games for NBA and NFL teams and local crime rates. Specifically, it will look at data from 2020, and compare the relationship between the presence of home games and the results of those games to local felonies, misdemeanors, and violations. The findings appear to find notable patterns, in that cities consistently demonstrate statistically significant reductions in felony crimes on game days. While score results and margins showed minimal correlation with crime rates, the presence of a home game was associated with the strongest reduction in crime rates. Overall, this paper contributes to understanding the complex and incredibly nuanced relationship between professional sports and crime, indicating that game days may have a temporary reduction in crime.
ContributorsNair, Rohan (Author) / Meuth, Ryan (Thesis director) / Mahzabeen, Sabiha (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2025-05
Description
Artificial intelligence (AI) has rapidly progressed over the past couple of years, sparking worldwide concerns about whether these new technologies will take human jobs, especially in the film industry. This thesis delves deeper into the ethical implications of AI in filmmaking and its potential to change the film industry as we know it. AI technologies have found ways to streamline production processes, creating benefits such as cost efficiency for small-budget filmmakers. Although these developments can optimize pre-production, production, and post-production processes, it causes distress with factors such as ethical use of information, job security, and creative integrity. A qualitative methodology incorporating literature reviews and case studies of visual media, is used to explore the dual-sided sword AI can be: democratizing the filmmaking process while also making people question the authenticity of the new age of cinema. This study explores whether AI can maintain a human element in art without ruining authorship in AI-generated scripts, or the use of deep fakes. Recommendations are made to ensure transparency and consent are always prioritized when innovating, to maintain ethical integrity. This thesis argues that while AI can support filmmakers through creative inspiration, and streamlining certain processes, it should never completely replace human authorship. AI is there to complement, not supersede the authentic storytelling that defines film. By highlighting these obstacles, this thesis can add to the ongoing conversation about whether AI should be involved in cinema's future and our obligation to establish equitable and progressive regulations.
ContributorsPartha, Ajay (Author) / Malpe, Adwith (Thesis director) / Wheatley, Abby (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2025-05
Description
We measure non-parametric morphological statistics, including Concentration (C), Asymmetry (A), and Smoothness (S), as well as the Gini coefficient and M20 moment of light, using Statmorph. Additionally, we analyze the variation of these parameters as a function of wavelength and radius to assess structural differences across different stellar populations. To place PEARLSDG in the broader context of dwarf galaxy morphology, we compare its structural parameters to a sample of 30 dwarf irregular galaxies (van Zee 2000, Conselice 2003). Furthermore, we investigate the presence of isophotal twisting, measuring orientation angle as a function of radius, to explore potential evidence of past dynamical interactions.
Our results aim to clarify whether PEARLSDG’s quiescence and structure arise from internal evolutionary processes or past interactions with neighboring galaxies. These findings contribute to our
understanding of dwarf galaxy morphology and the environmental factors that shape their evolution.
ContributorsMcLeod, Noah (Author) / Jansen, Rolf (Thesis director) / Carleton, Timothy (Committee member) / Windhorst, Rogier (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Earth and Space Exploration (Contributor)
Created2025-05
DescriptionThis project focuses on creating a detour recommendation system as a component of a larger product. The criteria for detours in this implementation are interesting locations that can be enjoyed for free. The implementation utilizes API calls, web scraping, and machine learning to determine if a location qualifies a detour.
ContributorsYang, Nathan (Author) / Chavez-Echeagaray, Maria Elena (Thesis director) / Mclaughlin , Ranique (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2025-05
Description
This thesis investigates the design, implementation, and theoretical underpinnings of partially fluid team dynamics in tabletop game systems - an emergent and under-theorized mechanic wherein players may alter team affiliations once per round, after which alliances become fixed until the round’s conclusion. Drawing on comparative analysis of traditional and modern card games such as Zhao Peng You and French Tarot, this work offers a formal definition of the mechanic and situates it within the broader landscape of cooperative and competitive game theory. The central contribution is the development of an original board game informed by the Chinese zodiac, designed to operationalize and interrogate the principles of strategic alliance formation under conditions of bounded fluidity. Through iterative prototyping, playtesting, and rule-balancing, the design process is used to examine core tensions between player agency, emergent narrative, and systemic clarity. This thesis ultimately argues that partially fluid team mechanics offer a novel space for dynamic social interaction, supporting both strategic depth and interpersonal engagement, while avoiding the cognitive overload and alignment ambiguity characteristic of more chaotic or deduction-based team systems.
ContributorsShin, Matthew (Author) / Mack, Robert (Thesis director) / Loebenberg, Abby (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor)
Created2025-05
Description
P.O.F.T.S. is an open-source fitness-tracking platform designed with transparent data privacy, a remarkable level of customization, and frequent user interaction in mind. Unlike other commercial fitness apps on the current market, P.O.F.T.S. gives the users total control over their data for a personalized fitness experience, including workout recommendations, social leaderboards, and devices synced with wearables.
ContributorsMejari, Vikas (Author) / Alfred, Heinric (Co-author) / Byrne, Jared (Thesis director) / Howell, Travis (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2025-05
Description
This project is a multi-layered sculpture built from wood, threads, beads, and bracelets, each representing a stage of life from early childhood to young adulthood. The layers correspond to different periods of time, with the materials acting as tangible markers of memory. The work is a personal piece that explores how memories change, fade, or become harder to access over time, yet remain interconnected and influential in shaping who we are.
ContributorsJohnson, Sydney (Author) / Takada, Emy (Thesis director) / Scott Lynch, Jacquelyn (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Art (Contributor)
Created2025-05
Description
In this project we are creating a tool for students that will help them gain dynamic educational
pathways based on their projects. By having a dataset of a college’s course standards and
matching the student’s work we get to show the student which courses they can gain potential
Microcredits for. By utilizing Artificial Intelligence (AI) and Natural Language Processing
(NLP) with Bidirectional Encoder Representations from Transformers (BERT) based sentence
embeddings, Facebook AI Similarity Search (Faiss) for similarity search, and KMeans for
clustering, we identify and group top-matching courses from a Firestore database to show to
students. In order to visualize the data, we use Neo4J to create a graphical nodal representation
of this data. This allows for dynamic and endless credit possibilities and creativity for students to
encourage them to try for new courses and learning.
ContributorsSingh, Suhani (Author) / Osburn, Steven (Thesis director) / Ernsberger, Karl (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2025-05