As children around the world are spending less time outdoors compared to previous generations, their screen time has increased. This can negatively impact their nature-related science learning, as well as cause a decline in their behavioral and emotional development. NatureCollections is a mobile app that seeks to harness the power of emerging technologies to engage elementary school children in an exploration of the natural world. Leveraging kids’ love for collecting things, the app encourages kids to go outside and have fun while developing a stronger connection with their natural surroundings.

E-commerce has been around for a while, however, shoppers are faced with decision paralysis with the abundance of options available online. Our backend technology, E-Telligence API, automatically searches the web to identify other websites where a specific product is available, enabling shoppers to compare prices and make an informed decision quickly. Our sponsor, NetPrism, plans to add this technology in their browser extension.

NetPrism develops software for understanding e-commerce trends. Our capstone project addresses the common problem of uncertainty in determining the best time to purchase a product. To solve this issue, we developed a Machine Learning model that leverages thousands of historical price data points to accurately predict the price of a product in the next 30 days. Our Price Prediction model provides graphical price predictions that enable individuals to make informed purchasing decisions, leading to more effective allocation of resources and less overspending. Our project demonstrates the utility of data analytics in bettering everyday finances.

NewImpact is a non-profit that provides resources for tri-sector innovation. Given the amount of organizations in existence it can be difficult for innovators to know where to start looking for information fitting their needs. To address this, we partnered with our sponsor to improve and redesign a wiki tool that serves as a free online directory of datasets, organizations and resources. Our platform allows users to search and filter for relevant information, explore geo-mapped resources, and export and share their findings. We hope this tool will provide opportunities for people to explore and solve real world problems!

Small to medium-sized companies face a significant challenge, as they are disproportionately targeted for cybersecurity threats and data breaches. To address this issue, we have developed Nova, an easy-to-use, effective, and affordable chatbot. The impact of Nova is twofold: it empowers clients to navigate and implement the NIST framework, address their cybersecurity needs, and educate themselves through tailored guidance.

NutriPath is a practical app tailored for college students, particularly international and out-of-state ones, to effectively manage their groceries and uphold a healthy diet. It serves to guide inexperienced students towards healthier lifestyles with user-friendly educational resources, a handy meal-planning feature, and an interactive shopping list equipped with a progress bar to encourage balanced dietary choices. NutriPath promotes responsible consumption habits and equips users with essential skills in grocery shopping and meal planning. Our mission is to cultivate a self-reliant, health-conscious generation, better prepared for independent living with a mindful approach to dietary management.

Open Data Portal Metric Performance Dashboard aims to enhance the transparency and accessibility of Washington State's open data program, data.wa.gov, through the design and implementation of a performance indicator dashboard. This project involves building robust data pipelines for automatic data updates, defining and calculating precise metrics, and visualizing these metrics using Tyler's built-in tool. Furthermore, a GitHub repository will be established for efficient code maintenance and dashboard documentation. The outcome will be a comprehensive, user-friendly platform showcasing the performance and value of Data.Wa's public data assets.

A small collection of 8 early printed books resided in the vaults for 70 years, unidentified and uncataloged. This collection was only known to two librarians in UW Libraries Special Collections, and remained unidentified due to lack of time available for catalogers to work with them, and lack of urgency for such materials from researchers. In order to help catalogers begin the cataloging process, I identified and created proto-records for these books, and designed two outreach events for rare books librarians to use in the future that would bring more awareness to the existence of the collection.

Pallet Shelter addresses unsheltered homelessness by constructing transitional shelter villages. To gather data on their impact, we developed a solution for collecting anonymized information from village residents. This measures the effectiveness of non-congregate village models in addressing residents' health, well-being, and homelessness journey. Google Forms surveys capture resident and service partner experiences, while a staff dashboard enables data analysis. Our solution provides insights into non-congregate villages' effectiveness by gathering data from residents and staff, enhancing our understanding. A project proposal was created to ensure Pallet is on the right track to obtaining constant data they want to enhance our solution.