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Description

Creation of a database and Python API to clean, organize, and streamline data collection from an updated Qualtrics survey used to capture applicant information for the Fleischer Scholars Program run by the W. P. Carey UG Admissions Office.

ContributorsGordon, Nicolas A (Co-author) / Moreno, Luciano (Co-author) / Sopha, Matthew (Thesis director) / Moser, Kathleen (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
Gamification is the process of adding game mechanics to non game activities, thus creating a more engaging environment. Loyals provides a gamification API which can be consumed to add Loyals (achievements) to any website, application, or mobile app. Loyals are used in two major ways: (1) to create an interactive

Gamification is the process of adding game mechanics to non game activities, thus creating a more engaging environment. Loyals provides a gamification API which can be consumed to add Loyals (achievements) to any website, application, or mobile app. Loyals are used in two major ways: (1) to create an interactive environment where users are rewarded for completing tasks and (2) as contextual information useful for analyzing user interaction with the application. The interactive environment inspires users to continue using an application while the contextual information can be used for improving the application to draw in new loyal visitors, ad targeting, creating user profiles, and much more.
ContributorsClaxton, Joshua Allen (Author) / Chen, Yinong (Thesis director) / Collofello, James (Committee member) / Irwin, Don (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
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Description

Creation of a database and Python API to clean, organize, and streamline data collection from an updated Qualtrics survey used to capture applicant information for the Fleischer Scholars Program run by the W. P. Carey UG Admissions Office.

ContributorsMoreno, Luciano (Co-author) / Gordan, Nicholas (Co-author) / Sopha, Matt (Thesis director) / Moser, Kathleen (Committee member) / Stark, Karen (Committee member) / Department of Information Systems (Contributor, Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

This paper advocates for FinTech companies as the key to solving the timeless issues found in the financial industry. With an emphasis on discrimination in the lending industry, this paper covers banking issues, evidence, causes, effects, roadblocks, and potential solutions moving forward. Due to the unique capabilities of FinTech companies

This paper advocates for FinTech companies as the key to solving the timeless issues found in the financial industry. With an emphasis on discrimination in the lending industry, this paper covers banking issues, evidence, causes, effects, roadblocks, and potential solutions moving forward. Due to the unique capabilities of FinTech companies and the resources of existing large financial institutions, leveraging each other's strengths through partnerships can lead to cutting-edge solutions with the outreach to make a substantial impact.

ContributorsKasprzyk, Hunter (Author) / Decaire, Paul (Thesis director) / Spencer, Adam (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2023-05
Description
The purpose of the thesis project is to address the rising issue of fake real estate listings and scams prevalent in listing platforms by developing an advanced program that employs various data verification methods to identify potential fraudulent listings. With the rise of online real estate transactions, the need for

The purpose of the thesis project is to address the rising issue of fake real estate listings and scams prevalent in listing platforms by developing an advanced program that employs various data verification methods to identify potential fraudulent listings. With the rise of online real estate transactions, the need for establishing trust and credibility between buyer and seller has never been more important. This research will create a system that will protect potential buyers from falling victim to fake listings and shield sellers from purchasing on scam-related platforms. Through analysis, the program will identify any inconsistency and warning signs that may indicate a fake listing. This thesis project aims to enhance the overall integrity and dependability of real estate listing platforms, fostering a secure environment for buyers and sellers to participate in online property transactions.
ContributorsAguilar, Javier (Author) / Osburn, Steven (Thesis director) / Malpe, Adwith (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05