Items representing lowbrow art are underutilized within the Special Collections library at University of Washington. By creating an exhibit showcasing the unique and varied items that represent this art style, we strive to promote these valuable and timely materials to be better recognized by patrons of Special Collections as well as to highlight underrepresented artistic communities. Along with the traditional viewing of held materials, patron participation is encouraged through a Spotify playlist, DIY workshops, animation slideshow, and online catalogue. Additionally, a specialized Lowbrow Collection Development Policy allows for the possibility to acquire contemporary materials for collections in the future.

Every non-profit organization deserves to have an accurate, efficient, eco-friendly and user-friendly donation process. Through a seamless integration of donation data, Mary’s Place employees are able to focus their efforts on maintaining shelters and increasing donations. Our digital in-kind donation form reduces human errors made in the current laborious donation input process. Additionally, our solution eliminates the need for paper forms and is a personalized interface for Mary’s Place. With our solution, an 8 hour data entry process becomes a 3 minute task.

Microsoft Learn was designed to be a student-facing platform to help develop technical skills but the experience was targeted towards professionals. Our team collaborated with university students to re-architect the site and build a platform that was more enticing to their skill level. By customizing the platform to better fit their needs, our solution, Microsoft Encounter, alleviates the major pain points of the Learn platform and delivers all the key features students look for in a technical learning site. In turn, this will lead to brand loyalty and turn the students of today into their customers of tomorrow.

The motivation for undertaking this study was twofold: I wanted to determine millennials' utilization of FinTech apps, and if this has any impact on their financial literacy. Therefore, I analyzed academic and industry literature around millennials and FinTech usage trends, analyzed publicly available Venmo transactions to assess financial literacy, and performed user research on millennials to gain a deeper understanding of their views on FinTech apps and their perceptions of financial literacy. Ultimately, I determined that while millennials use FinTech very frequently, it doesn’t impact their financial literacy and that FinTech apps solidify existing financial habits instead of changing them.

Social media has negative effects on people’s emotions and social well-being by raising or reducing their self-awareness. We then designed a personal informatics tool, which is a usage report that guides users to learn about their posting activities and self-reflect. With the exact data extracted from users’ social media along with the data analysis we did, we could provide an easy, enjoyable, and heart-warming way for them to deeply self-reflect, including reminding them of their good memories and highlight moments, giving them numbers and visualizations, etc. Users can make adjustments accordingly to experience more positive social well-being.

Talking Rain(TR) is a leading beverage company manufacturing sparkling water and other beverages. TR relies on manual quality assurance processes to identify non-optimal beverages before release into the market. Non-optimal products yield complaints from consumers and generate negative publicity for the company. The goal of the project was to leverage ML to identify hidden patterns and detect non-optimal lots to prevent their release into the market. Our ML model was able to identify 100% non-optimal lots at the cost of retesting few good lots. This data-driven approach has enabled TR to identify quality issues at co-packers early, ensuring proactive remediation.

Creating an abstract from claims in patent application is a time-consuming and tedious process, which requires manual effort. Often times, the patent attorney has to go through pages of claims to form 150 words abstract. It’s a monotonous process that has good scope for automation. The time saving achieved from automation can be utilized in more challenging issues. We explored three different models for our project: PageRank, LongShortTerm Memory and Text to text transform transformer(T5). The T5 model has shown the most accurate result so far and helped us in generating meaningful and grammatically correct abstract without any human intervention.

The Pacific Science Center collaborated with Magic Leap to provide unique and immersive experience to visitors. Project Moonshot is a game application that utilizes Magic Leap One’s spatial computing ability to bring the entire solar system within ‘reachable’ distance to the players. Player’s task is to place planets in the correct orbits respectively. To ensure the accuracy and relevance of the educational value, the game is designed based on Common Core states standards for grade 6-8 students. While the game application is immersive, it is also interactive which requires multiple players to collaborate and exchange information in order to win.

To maximize life-saving potential, patients require efficient access to medical information and connections to the right doctors. However, doctors’ information is scattered in Malaysia. Patients often rely on word-of-mouth or long searches on individual hospital websites to search for doctors. Moreover, these sources do not accurately reflect the service quality of doctors. MYDoc is a web platform designed to bridge this information gap in Malaysia. By gathering doctors’ information in a single web application, users can both efficiently search for doctors’ information and recommend doctors to others. Through MYDoc, we strive to simplify the healthcare-seeking process for patients in Malaysia.

Currently, the medical research world has a serious lack of access to accurate & detailed patient data points in studies that require patients self-documenting by pen and paper. myMedDiary is a digitalized personal diary in which patients can track their symptoms & it’s severity on their phone. Patients and approved medical professionals may then easily view the analysis of the patient’s symptom data through the website portal on any device, simply by signing in with their C-RA accounts. With myMedDiary’s detailed data points & visualizations, medical professionals can make more informed and data driven diagnoses for their patient’s treatment/prevention plans.