2023-24 Student/Industry Teams
apple.py
Partner: Artera
Team: Shivani Sista (Lead), Jessica Nguyen (Scribe), Cheryl Stanley, Gita Supramaniam, Jessica Lieu, Ritvi Bhatt
Mentor(s): Anav Sanghvi
Project Overview: Our goal is to provide a smartphone Apple watch platform with easy to access information about
alcohol safety and make it easier to manage alcohol intake to reduce risk of overdose.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
Brandon and The Verilog Survivors
Partner: Appfolio
Team: Jacob Eisner (Lead), Iain Weissburg (Scribe), Liam Pang-Naylor, James Ellenstein, Yuki Keung, Brandon Son
Mentor(s): Justin Pearson, Wade Varesio, Jacqui Mai, Bryan Terce, Alex Oaten, Kobe Shavolian, Laith Abdel-Rahman, Brandon Nadell
Project Overview: RealtyReel is a user-friendly platform designed for property owners who seek an efficient way to
create high-quality promotional videos for their listings. By simply uploading photos, videos, and
accompanying descriptions, users can leverage our AI-driven system to produce polished
videos complete with AI-generated voice overs, seamless transitions, and professional-grade
color correction.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
War Room Minions
Partner: Artera
Team: Rob Briggs (Lead), Ashley Budman (Scribe), Joshua Son, Gianmarco Psotka, Parsa Hafezi, Jonah Park
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Mentor(s): Anav Sanghvi
Project Overview: DermIQ will allow for increased early detection of melanoma and other skin problems through expanded access to screening, quicker intervention and treatment for identified cases of skin cancer through prompt risk analysis and
recommendations, and improved convenience and affordability of skin checks through on-demand digital screening.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
The Documenters
Partner: Terawe
Team: Kenny Bui (Lead), Jai Uparkar (Scribe), Krish Agarwal, Ethan Epp, Heather Nguyen, Matthew Nguyen
Mentor(s): Bradley Tipp
Project Overview: We will create an interactive, spatio-temporal immersive visualization of news events using a
metaverse platform. Unlike traditional VR headset-based experiences, this project leverages
web-based metaverse technologies, NLP (Natural Language Processing), and GPT-4 to allow
users to explore and understand news events that have occurred in both Spanish and English
languages. However, users will be able to access the metaverse platform through a standard web
browser or mobile device, eliminating the need for VR headsets. This ensures wide accessibility.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
Gold Cats
Partner: Appfolio
Team: Vince Nguyen (Lead), Dan Le (Scribe), Binyu Zhong, Daniel Li, Yufei Song
Mentor(s): Brandon Nadell, Bryan Terce, Jared Fitton, Jacqui Mai
Project Overview: The objective of this project is to enhance the existing Gold website at UCSB by incorporating
additional features to assist students in making informed decisions when selecting courses. The
tool will provide students with comprehensive information on course details, grade distributions,
professor ratings, and the option to connect with peers enrolled in the same course.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
Forta Infinity
Partner: Forta
Team: Abel Atnafu (Lead), Junhwan Lee (Scribe), Taeho Kim, Kenji Kano, Vikram Elango
Mentor(s): Christian Seifert
Project Overview: Our main goal is to design a website that's easy for people to use on Forta.org. We're aiming to
create a working model of a web application that can find the right bot when users search for them.
Additionally, it will explain why a particular bot was suggested and how it can be useful, giving users a
clear understanding. By doing this, we want to make it simpler and more enjoyable for users to navigate
Forta Network and pick the right tools for their needs.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
Auto-Grader
Partner: Forta
Team: Joe Zhang (Lead), Amy Wang (Scribe), Anuragh Sundar, Lawrence Chen, Max Fletcher
Mentor(s): Christian Seifert
Project Overview: Our project’s aim is to develop an auto-grader that can take an alert as input and automatically
retrieve the relevant information from the web to determine whether an alert is a false or true
positive, similar to how a human makes that assessment. We can use Large Language Models
(preferably Chat GPT) to use functions to retrieve information from block explorers, on-chain,
and other systems.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
Triple A
Partner: Aziksa
Team: Paritosh Jha (Lead), Vyomsarit Singh (Scribe), Jonathan Cheng, Tanish Kumar, Aashay Parab, Alexander Ward
Mentor(s): Santosh Jha, Aadhar Sharma, Marilson Campos
Project Overview: Leverage LLM to develop a writing assistant for non native English language speaking corporate
workforce in the business context for a given role such as customer service representative, Sales
executive and Technology leader to name a few. This tool will be available in a separate app
from Aziksa’s current app. Users will be able to prompt the LLM to assist them in writing
professional emails by adjusting parameters, choosing tone, etc to fit the specific business
context they are in.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]
Logos
Partner: Veridise
Team: Shivansh Kapoor (Lead), Thomas Hale (Scribe), Colter Sirlin, Christopher Chang, Maya Ma
Mentor(s): Yu Feng
Project Overview: Our first solution
revolves around the creation of a common Intermediate Representation (IR) for all frameworks.
This web application will serve as a platform, enabling users to seamlessly translate and
integrate various zk circuit frameworks. By introducing a unifying IR, we aim to bridge the
disparities between different frameworks, fostering a more cohesive environment for security
analysis. As a starting point, our web application will support translations for Circom and will be
followed by Halo2, Artworks, Gnark, and Plonky2. This initiative not only streamlines the
development process but also ensures a standardized approach to zk circuit creation and
validation.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2: [PDF]
End of CS189A (First Quarter) Presentation:
[PDF]
[YouTube]
Final Poster:
[PDF]
Final Presentation:
[PDF]
[Video]