Projects
Drone Eye (Senior Design)
Working with a team of four undergraduate students, I am helping design a computer-vision and machine-learning based drone detection system. The platform uses LiDAR for depth perception and a custom-trained ML model to detect drones and estimate their Cartesian coordinates within the system. The project also includes a user-friendly graphical interface for displaying detections and outputs.
Diabeasy (UD Hackathon)
Alongside a team of four undergraduate students, I helped design an encrypted downloadable application built with Tkinter that assists users with tracking insulin usage and calculating insulin dosage amounts.
PitchMAX
Developed with another undergraduate student, PitchMAX is inspired by systems like PitchCom and enables pitchers and catchers to call pitches at a fraction of the cost of existing solutions. The project uses custom hardware and firmware to communicate called pitches between players.
PyroPlan (UD Hackathon)
Working with a team of four undergraduate students, I helped create PyroPlan, a
web-based platform for modeling fire spread in level 1 materials entirely server-side
without requiring any software download. The tool was designed to make fire-spread
simulation more accessible through an interactive web interface.
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Mom Blood Sugar Tracker
I developed a web-based platform that allows multiple caregivers to submit orders
and coordinate blood sugar and insulin-related care in a way similar to MyChart,
but focused specifically on insulin dosing, blood sugar tracking, and caregiver
communication.
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