Award Winning Projects

Infographic for the Officer Aptitude & Stress Information System (OASIS), a project by Team Justice for All at Austin Community College. The graphic explains how OASIS uses machine learning to review police body-camera footage and wearable data to detect officer stress and escalation. It outlines the problem of too much footage for human review, shows the OASIS solution workflow, and lists benefits such as increased efficiency, identifying officer strengths, preventive policing, and improved community trust.

3rd Place - Community College Innovation Challenge 2021

The Project

OASIS (Officer Aptitude and Stress Information System)
OASIS uses machine learning to review police body camera footage for early signs of officer stress and prevent escalation in interactions with the public.

The Problem

Body-worn cameras are now widely adopted, but less than a fraction of the footage is ever reviewed, and typically after a complaint or high-profile incident. Departments are sitting on massive amounts of video data with no scalable way to make use of it.

The Solution

OASIS turns that unused footage into an early warning system. by analyzing metrics like heart-rate, speech patterns, and proximity, the system identifies moments that stress is rising or an encounter is at risk of escalation.

With real-time insights, departments can train, treat, or reassigning officers before situations escalate. This shifts the model from reactive discipline to proactive intervention.

My Role

I led stakeholder interviews, conducted research, developed visual design and content strategy, and co-presented pitch for this national STEM competition.

Press

Gamified student dashboard interface showing missions, class schedule, avatar customization, and rewards. The student avatar named Jaden Richards is at Level 8 with experience points displayed, and options to buy items from a shop and store items in a backpack.

Winner – Austin Design Week 2020 Design-A-Thon

The Project

Rocket, a gamified learning interface for elementary school students to increase engagement and reduce frustration in remote learning environments. 

The Problem

During the COVID-19 lockdown, many schools shifted to a platform originally built for college students. The result: disengaged students, overwhelmed parents, frustrated teachers, and a spike in failing grades. Younger learners needed more visual structure, motivation, and feedback designed for their age group. 

The Solution

Rocket reimagines the existing platform with a kid-friendly, game-based interface that makes assignments feel like missions instead of tasks. It also adds a dedicated parent portal for progress tracking and teacher communication to help rebuild the connection lost during remote learning. 

My Role

I conducted user interviews, led research and content strategy and co-presented the final pitch. This one-week design sprint was a collaboration with four other designers.