UC Santa Barbara Computer Science Capstone Presentations March 14, 2025 in Henley Hall
Sponsor: Acelot
Team: Vincent Zhu, Bryan Huang, Kevin Deng, James Fu, George Nebieridze
Mentor(s):
Lewis Whitehead, Kevin Burk
Project Overview: In our capstone project we will be working on a drug discovery
algorithm that calculates the location and velocity of atoms. The current code base runs a
single thread of a CPU and our
job is to optimize the code by creating a thread secure algorithm that will run on a 9000 core
GPU.
Vision Statement:
[PDF]
Project Requirements Document:
[PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]
Sponsor: Appfolio
Team: Kole Kikuta, Sid Rambhatla, Koray Kondakci, Emre Cikisir, Andrew Thai
Mentor(s):
Wade Varesio, Jacqui Mai
Project Overview: We are building an AI-powered tool to make property management easier
by automating tasks like tenant questions, lease management, and maintenance requests. We are
working to help
property managers save time and streamline communication with their tenants, making day-to-day
operations smoother and more efficient.
Vision Statement:
[PDF]
Project Requirements Document:
[PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]
Sponsor: Appfolio
Team: Hugo Lin, Liliana Nguyen, Winbert Zhang, Riley Chou, Krish Chaudhary
Mentor(s):
Wade Varesio, Jacqui Mai
Project Overview: We are building an anomaly detection model to detect transaction
anomalies in areas like the history, location, and payment amount. We will deploy the model as a
service for AppFolio
along with a web application as a user interface to view anomalous transactions.
Vision Statement:
[PDF]
Project Requirements Document:
[PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]
Sponsor: Artera
Team: Kaitlyn Tom, Michael Wong, Zhenyu Yu, Yuji Sakaguchi, Connor Duncan
Mentor(s):
Anav Sanghvi
Project Overview: ConnectAble is a gamified social development app for mentally impaired
individuals in their behavioral therapy journey. Following a tree-like level structure, users
progress from easy to
harder social interaction via various simulated situations with AI-generated avatars, receiving
feedback on social cues such as their body language, eye contact, and pauses.
Vision Statement:
[PDF]
Project Requirements Document:
[PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]
Sponsor: Ava Labs
Team: Adyah Rastogi, Wesley Truong, Justin Lang, Hao Lee, Jiahua Ren
Mentor(s):
Aaron Buchwald
Project Overview: Our project seeks to enhance the underlying architecture of the
Avalanche blockchain by optimizing how key-value pairs of Merkle trees are stored directly on
disk, moving beyond
conventional database solutions like LMDB, LevelDB, and RocksDB. By developing and refining
critical components such as the disk manager, free list, and revision manager, we aim to
streamline the storage of
recent Merkleized blockchain states, significantly reducing overhead and improving efficiency in
state management.
Vision Statement:
[PDF]
Project Requirements Document:[PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]
Sponsor: Beegol
Team: Edwin Yee, Ray Du, Baimin Wang, Zixiao Jin, Alexander Nguyen
Mentor(s):
Gilberto Mayor
Project Overview: The goal of our project is to create software to provide network
diagnostics for connection drops and disconnects. Using Large Language Models (LLMs), we seek to
translate error logs into
human-readable messages and formulate a hypothesis for the root cause of the network problem.
Vision Statement:
[PDF]
Project Requirements Document:[PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]
Sponsor: FOIA-Friend
Team: Shelly Zhu, Winston Zuo, Erica Liu, Christian Baker, Ritu Kirsur
Mentor(s):
Mentor 1, Mentor 2
Project Overview: The FOIA Rater and Editor (FARE) project simplifies the Freedom of
Information Act (FOIA) request process by providing users with tools to evaluate and improve
their submissions. Through
a rater that assesses the quality and clarity of FOIA requests and an editor that offers
improvement suggestions, FARE enhances request accuracy, reducing delays and costs for both
users and government agencies.
Vision Statement:
[PDF]
Project Requirements Document: [PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]
Sponsor: Mysten Labs
Team: Sophia Weiler, Ashton Wong, Chloe Ta, Ben Richardson, Bonnie Huynh
Mentor(s):
Deepak Maram, Alberto Sonnino
Project Overview: SuiChat is a messaging app prototype that circumvents the need for
intermediaries in contact discovery and message transmission. Utilizing blockchain technology,
the app will facilitate
the establishment of end-to-end encrypted sessions and message transmission, mitigating the
censorship and coercion risks present in current messaging platforms.
Vision Statement:
[PDF]
Project Requirements Document:[PDF]
Project Requirements Document v2:
[PDF]
End of CS189A (First Quarter) Presentation:
[Slides]
[Video]
Development Plan: [PDF]
Final Poster: [PDF]
Final Presentation: [PDF][Video]