Wave of Wellness

Description
Wave of Wellness is a mobile application meticulously designed to bridge the gap between technology and healthcare, focusing on enhancing the quality of life for the elderly and their caregivers. The app is embedded with the capability to monitor and

Wave of Wellness is a mobile application meticulously designed to bridge the gap between technology and healthcare, focusing on enhancing the quality of life for the elderly and their caregivers. The app is embedded with the capability to monitor and track vital signs and biometric data, utilizing integrated sensors to provide real-time health insights. The primary objective of this project is to explore and answer the pivotal question: How can technology be utilized to uplift the living standards of the elderly and caregivers? This is achieved by promoting independence among the elderly, averting unnecessary hospitalizations, and offering valuable health data that can be crucial in medical interventions and lifestyle adjustments.
Date Created
2023-12
Agent

Building Black Youth Foundation - Uplifting and Educating Through Inclusivity and Games

Description
This project was a look into how a child's education can be strengthened using not only gamification, but also with a more inclusive curriculum to better include and represent students of all backgrounds. Five games were created using Unity, a

This project was a look into how a child's education can be strengthened using not only gamification, but also with a more inclusive curriculum to better include and represent students of all backgrounds. Five games were created using Unity, a free game development software, and with regard to the following subjects, reading, math, music, science, and art. When applicable, the games taught about the cultures of Caribbean and African countries, for example, the art history of Jamaica. Testers played through all games and the number of questions missed as well as time spent on each subject were collected.
Date Created
2023-12
Agent

The Reliability of Predictive Models in Esports -- Using Methods of Linear Algebra and Machine Learning

Description
This project is centered around a decade-old video game called League of Legends, which is one of the most popular video games in esports. Due to its nature of being a complex team-based strategy game, intuitive human predictions of the

This project is centered around a decade-old video game called League of Legends, which is one of the most popular video games in esports. Due to its nature of being a complex team-based strategy game, intuitive human predictions of the game’s outcome are relatively unreliable. Many approaches have been adopted to assist intuitive human predictions in traditional team-based sports, such as the Least Squares Method and various supervised machine learning algorithms. These methods have been significantly outperforming human predictions. The objective of this research is, hence, to test whether the predictive models generated using these methods can achieve a similar level of reliability in a more complex game like League of Legends.
Date Created
2023-12
Agent

Understanding and Addressing Barriers to Effective Procedure Logging Among Residents

Description
The significance of precise and prompt documentation of procedures within medical residency programs is important for medical residents due to its direct influence on the evaluation of competency, appraisal of the residency program, and the provision of high-quality healthcare. The

The significance of precise and prompt documentation of procedures within medical residency programs is important for medical residents due to its direct influence on the evaluation of competency, appraisal of the residency program, and the provision of high-quality healthcare. The motivation of the research study is driven by the concerns expressed by medical professionals in the residency program. The research in this honors thesis explored complex difficulties encountered by residents at medical hospitals in relation to the documentation of medical procedures. The study comprised of three parts: an in-depth literature survey specifically with respect to the duties and lives of Residents and survey of previously conducted structured interviews of Residents at hospitals. The study revealed that the current logging processes at hospitals, have become cumbersome, inefficient, time-intensive, and reduced motivation to log the procedures correctly and in a timely manner. Frequently, the procedures are logged from memory and therefore accuracy of the data is unknown. This study did not find evidence that the data logged was used for continuous improvement of processes and the improvement of the curriculum for Residents. The thesis has made a detailed system requirement based on the understanding of the subject and a detailed analysis of current methods and technologies used. Given the permeance of Artificial Intelligence (AI) and software such as ChatGPT, a literature survey of use of AI/ChatGPT was also undertaken. AI technology may provide an opportunity to streamline data logging and analysis. As the technology progresses and legal and ethical issues are resolved, many AI technologies and recommendations from this paper could become part of ongoing Engineering Projects in Community Service (EPICS) projects at Arizona State University (ASU).
Date Created
2023-12
Agent

Measuring the use of dynamic circuits on performance metrics of Quantum Neural Networks

Description
The goal of this project is to measure the effects of the use of dynamic circuit technology within quantum neural networks. Quantum neural networks are a type of neural network that utilizes quantum encoding and manipulation techniques to learn to

The goal of this project is to measure the effects of the use of dynamic circuit technology within quantum neural networks. Quantum neural networks are a type of neural network that utilizes quantum encoding and manipulation techniques to learn to solve a problem using quantum or classical data. In their current form these neural networks are linear in nature, not allowing for alternative execution paths, but using dynamic circuits they can be made nonlinear and can execute different paths. We measured the effects of these dynamic circuits on the training time, accuracy, and effective dimension of the quantum neural network across multiple trials to see the impacts of the nonlinear behavior.
Date Created
2023-12
Agent