We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.

The field of veterinary medicine can be rewarding, but also very demanding. Research has shown that many practicing veterinarians struggle with mental illness, and the profession has one of the highest suicide rates in the United States. Research has also shown that many veterinary students struggle with mental illness. It is important to further research the mental health of veterinary students and how that can correlate with one's mental health as a practicing veterinarian. The purpose of this project is to summarize findings of the literature concerning the mental health of veterinary students and to present a new resource, the Wisdom Vet app, that can potentially support the well-being of veterinary students.

SparkUp! is a solution that was created by Jose Montes and Ninad Kulkarni in September of 2021. The pair noticed a few needs that they could help solve within the ASU community. Due to the Covid-19 pandemic, the average students' college experience was completely uprooted and replaced with asynchronous learning and interactions which made it difficult for students to engage with other fellow students and make new friends. This also caused students to develop sedentary lifestyles since they no longer had to walk to campus, and they developed a routine of staying confined to their dorms throughout the day. SparkUp! is a Social Media app concept that solves these issues by connecting ASU students with other fellow students by helping them engage with one another in outdoor physical activities. Members can create and host their own hiking, cycling, kayaking, or other outdoor activity and they can set them for private or open use. Users can request to join an event by RSVPing through the app, and they also can connect with their new connections by utilizing the social media aspect of the app. Lastly, the app also tracks and maintains activity metrics such as miles traveled, steps taken, and overall time spent engaging in an activity. Through the needs discovery phase which took part from September-December 2021, the solutions that SparkUp! offers were validated. This prompted further analysis which led to an overall PESTLE analysis of SparkUp!’s overall potential ecosystem, the creation of a marketing strategy and the creation of an Alpha version of the app so that potential users could test the initial designs of the concept. This testing was done during April of 2022 which is aiding in gathering the data necessary to create a Minimal Value Product for future release.