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The team at CodeQuantum 2025
LEVEL 04RAREMOBILE

MAD HATTER'S
WHISPER

1st Place at CodeQuantum 2025. An app that guesses which Alice in Wonderland character is speaking from a line of dialogue.

Role
Frontend, React
Timeline
Mar 2025 · 10 hours
Stack
React · Flask · Python · scikit-learn · Pandas · BeautifulSoup
Status
1st Place
01

BRIEFING

CodeQuantum '25 at UTSA had an Alice in Wonderland theme. Every character talks in a wildly different way, so we asked: could a model tell who's speaking?

We scraped the dialogue with BeautifulSoup, tested SVM, Naive Bayes, and Logistic Regression in scikit-learn behind a Flask API, and I built the React frontend. SVM won at 51% accuracy, and so did we.

1st
CodeQuantum 2025
51%
SVM accuracy
3
models tested
10h
build time
02

GALLERY

4 shots
Presenting at CodeQuantum 2025
Presenting at CodeQuantum 2025
The app: type a line, predict the character
The app: type a line, predict the character
Sample training dialogue
Sample training dialogue
Title slide from our pitch deck
Title slide from our pitch deck
LEVEL
COMPLETE
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