Arizona State course enrollment regularly reaches triple digits. Despite the large enrollment numbers, the level of communication among students remain relatively low. Students often create Discord servers to keep in touch with classmates, but this requires each individual student to track down the invite link. The purpose of this project is to create an inviting chat service for students with minimal barriers of entry. This website, https://gibbl.io, offers a chat room for every class at ASU, making it simple for students to maintain communication.

A primary need of Forensic science is to individualize missing persons that cannot be identified after death. With the use of advanced technology, Radio Frequency Identification (RFID) implant chips can drastically improve digital tracking and enable robust biological and legal identification. In this paper, I will discuss applications between different microchip technologies and indicate reasons why the RFID chip is more useful for forensic science. My results state that an RFID chip is significantly more capable of integrating a mass volume of background information, and can utilize implanted individuals’ DNA profiles to decrease the missing persons database backlogs. Since today’s society uses a lot of digital devices that can ultimately identify people by simple posts or geolocation, Forensic Science can harness that data as an advantage to help serve justice for the public in giving loved ones closure.

In this paper, I introduce the fake news problem and detail how it has been exacerbated<br/>through social media. I explore current practices for fake news detection using natural language<br/>processing and current benchmarks in ranking the efficacy of various language models. Using a<br/>Twitter-specific benchmark, I attempt to reproduce the scores of six language models<br/>demonstrating their effectiveness in seven tweet classification tasks. I explain the successes and<br/>challenges in reproducing these results and provide analysis for the future implications of fake<br/>news research.

Artificial Intelligence is quickly growing to be an influential part of our daily lives. Due to this, we believe it is important to analyze how cultural perceptions can influence how we interact and develop technology. We decided to focus on India due to its large economic stature, cultural influence, and influence on the technology industry.

As technological advancement increases and becomes more accessible to everyone around the world, many communities and support groups have begun to offer online options for their programs, whether it be a fitness program, online therapy group, or doctor’s appointment. With the COVID-19 pandemic affecting every country around the world, online and virtual communities have become more necessary than ever. Using personal experience from an online fitness community formed as a response to social isolation called“Barrett Healthy Minds, Healthy Bodies,” research was conducted to determine if online communities had the same effectiveness as in-person communities in reaching and maintaining individual health goals. Peer-reviewed scientific articles and research papers from many countries around the world were analyzed for demonstration and quantification of the efficacy of other online communities compared to in- person groups. In addition, the benefits and limitations of online communities were identified. Using all of the research and data collected, a novel fitness program was designed for implementation with an online synchronous group (OSG) and an online asynchronous option serving as a control to observe any differential adherence of participants to fitness goals. The proposed OSG consists of meetings and workouts through Zoom and is more interactive, even virtually. The control group had no interaction with others and completed the workouts alone. While this program was not distributed to the public and tested as part of this project, it was designed to be an optimized pilot program to test the impact of remote community engagement on goal attainment. It is predicted that the OSG would demonstrate improvement over control in better reaching goals and increased satisfaction with results. Scientific literature from a variety of disciplines discussed here informs this prediction.

Artificial Intelligence is quickly growing to be an influential part of our daily lives. Due to this, we believe it is important to analyze how cultural perceptions can influence how we interact and develop technology<br/>We decided to focus on India due to its large economic stature, cultural influence, and influence on the technology industry.

Human activity recognition is the task of identifying a person’s movement from sensors in a wearable device, such as a smartphone, smartwatch, or a medical-grade device. A great method for this task is machine learning, which is the study of algorithms that learn and improve on their own with the help of massive amounts of useful data. These classification models can accurately classify activities with the time-series data from accelerometers and gyroscopes. A significant way to improve the accuracy of these machine learning models is preprocessing the data, essentially augmenting data to make the identification of each activity, or class, easier for the model. <br/>On this topic, this paper explains the design of SigNorm, a new web application which lets users conveniently transform time-series data and view the effects of those transformations in a code-free, browser-based user interface. The second and final section explains my take on a human activity recognition problem, which involves comparing a preprocessed dataset to an un-augmented one, and comparing the differences in accuracy using a one-dimensional convolutional neural network to make classifications.