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iSchool Capstone

2020

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Patent Evaluator

Patent applications are currently an expensive process, requiring many work hours and high economic costs for creating, editing, and submitting applications to the United States Patent and Trademark Office. This project utilized machine learning methods to analyze method claim text and ultimately determine whether a method claims application would be rejected. This project aims to help stakeholders leverage the results from these models to streamline their patent application process and to implement the models in the future for better determining which words may contribute to their application being rejected.
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Pseudo-crypto currencies and their implications

With the rapid transformation to the digital age, one sector that has changed the least is the banking and financial sector. After the creating of the first cryptocurrency, there has been an eager push to use this technology to benefit humanity by creating new technologies that harness the power of a decentralized system. Every new technology is a double-edged sword. It can be used to benefit people as well as suppress them if used incorrectly. There have been efforts by organizations as well as countries to use cryptocurrency to collect personal data and evade sanctions.
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Think Beyond: Reusable Packaging for a Sustainable Future

This project is rethinking the approach for e-commerce packaging. With the growing market of e-commerce, there is a dire need to generate a sustainable approach. By utilizing Amazon’s delivery process and packaging as a use case, our team proposes a new way to help decrease the number package needed to be produced while reducing the number of incorrect recycled materials being sent to the recycling center. Through the surveys, interviews, and research, our team has redesigned the current Amazon mailers for reuse to fit the new business process geared towards sustainability.
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UW Analytics

UW faculty make data-driven decisions every day. From large-scale business decisions to helping students succeed, data analytics affects the lives of everyone in the UW community. The current solution, created by UW Enterprise Reporting and Analytics, uses two portals: B.I. Portal, UW Profiles. Our solution, UW Analytics, addresses current issues such as cost and inefficiency in maintaining two distinct portals, feature underutilization, and inconsistent UW branding. UW Analytics is a one-stop-shop featuring an intuitive, streamlined UI that adheres to UW branding. Less time looking for data means more time for analyzing and making better-informed decisions.
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Which is the Safest Car for You? Deriving Safety Score from Real World Collision Data

Which car model is the safest while facing a car collision? The National Highway Traffic Safety Administration has a popular car safety rating system based on crash tests in controlled environments, but how about a safety rating based on real world accident data? Provided with extensive vehicle collision records across the US, by VinAudit, we built a regression model to evaluate the vehicle safety for each vehicle make/model/year, and created a web application that allows people to look up and browse safety scores. We provide a brand new perspective for consumers who care car safety.

2019

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Aerowood Animal Hospital: Navigating Interoffice Communication Roadblocks in the Digital Age

Aerowood Animal Hospital, a 24 hour emergency veterinary hospital, has been serving its community for decades. Unfortunately, an interoffice shared network with hundreds of improperly organized materials, as well as a backlog of physical materials in need of digitization, and several training programs in need of updates and/or expansion has left the staff exhausted when it comes to communication and data retrieval. This project heavily relied on digitization, categorization, organization, and instruction. More creative efforts went into updating and expanding training methodologies. The impact improves the working environment, staff relationships with clients, and hospital communications.
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Carrier Network Traffic Analysis - Data-driven solutions to keep the world connected

Network traffic and accurate location data draw significant interest from network operators and many other industries for marketing and service improvement potentials. At the same time, such data draw significant scrutiny due to privacy concerns. This project attempts to address privacy concerns by building a machine learning model based on truly anonymized data where all privacy-related information is peeled off. The project solution helps improve consumer confidence by eliminating privacy exposure while allowing the sponsor to save significant resources by simplifying the data wrangling process from complex and disintegrated data sources.
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Categorization: Generating Clusters of Related Businesses

We are working with Pitchbook, a company that provides financial database and platform for Private Equity and Venture Capital professionals. VCs today spend more than 20% of their time searching for the right opportunity to invest in. For that, they have to look at thousands of companies, more than 100 KPIs. To make this process easier and less time consuming, we made Investoscope, which applies machine learning to cluster similar companies according to different KPIs and augments Pitchbook’s abilities to provide data with intuitive and intelligent UX. Using Investoscope, users can better understand volatile markets when making crucial investment decisions
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CITYFOOD Aquaponic Practitioners Research

The University of Washington, College of Built Environments was awarded a National Science Foundation grant (part of a 29-country initiative). The initiative is responsible for the CITYFOOD project which aims to tackle the challenge of competing resources in urban environments. The initiative calls for research into sustainable applied solutions. The Star Schemers worked to finalize the survey questions, program, and launch the longitudinal CITYFOOD aquaponic practitioners survey. The Star Schemers developed a business intelligence solution to aid in collection, storage, cleaning and analysis of survey data for reporting. This research is instrumental in discovering innovative solutions to address sustainability issues.
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CubeRule, a Cyber Security Education Platform

Cube Rule is an AWS developer education program integrated with Security Innovation’s simulation platform, “CMD+CTRL”. Cloud technology has become extremely popular. But as technology becomes more advanced, so do hackers. Many developers don't learn about security until late in their careers, which leaves a wide opening for malicious actors. Cube Rule provides a gamified simulation for developers to look through a hacker's eyes and exploit AWS vulnerabilities. Developers of all skill-levels can utilize the program, as CMD+CTRL provides hints and a scoreboard. By teaching developers to defend their platforms, Cube Rule will create a safer future for everything online.