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Dream Team Engineering Software Team

Software

Dream Team Software Engineering (DTSE) is our software development division. DTSE currently contains six subteams that are all focused on producing innovative technologies for patients and doctors through a combination of web apps, mobile apps, VR games, and software-controlled hardware.

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Speech Language Development (SLD)

We are developing an AI-based tool for automatic speech recognition (ASR) of child speech, focused on structured assessments and language sample transcription, to support speech-language research and intervention.

VR MRI

The goal of VR MRI is to build a virtual reality simulation that replicates the experience of receiving an MRI. This project, in partnership with McKnight Brain Institute, will help patients become used to the claustrophobic and noisy environment before actually having the procedure.

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Train of Four Team

Train of Four

This team aims to automate the Train of Four test, which assesses anesthetic levels within a patient. The team combines computer vision with a TensorFlow/Keras image processing framework to accurately quantify hand movements of a patient after an electrical stimulus. This measurement tool standardizes and collects critical information that inform anesthesiologists on the effect and delivery of medications.

TOAD

This project is an advanced machine learning pipeline designed to automate comprehensive analysis of knee osteoarthritis using convolutional neural networks (HRNet and U-Net) applied to histological slides. The goal is to expand SEKO's anatomical coverage to whole-joint segmentation, incorporate human histopathology data, and identify new predictive biomarkers like osteophytes.

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Internal Team

A full-stack recruitment management platform designed to streamline the application process for Dream Team Engineering. The project will support branch-specific applications (software, design, shadowing, research), and a comprehensive review workflow. Built with a robust backend API featuring role-based access control, dynamic application forms, and real-time user synchronization via Clerk webhooks, this platform provides recruiters with powerful tools to manage applications from submission through acceptance.

Launchpad

Dream Team Engineering's Launchpad Team takes over unfinished products and help make them market ready! Last semester we worked on an app called GatorGoesToSurgery for Shands. The team is currently in the process of trying to get the app set up at Shands Hospital.

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Range of Motion (ROM)

Range of Motion is a mobile app developed to conduct shoulder range of motion tests for geriatric patients that have received joint replacement surgery in their shoulder. Often times patients live far away from Shands hospital, this app allows patients to conduct more accurate tests on their own instead of coming to the hospital. Developed as a React Native typescript app with a Python flask backend utilizing open cv and media pipe hosted on Google cloud run, ROM is starting clinical tests with real patients in the spring.

Nodal Analysis

This project applies nodal network analysis to tackle polypharmacy—the concurrent use of five or more medications, common in older adults with chronic conditions like heart disease and diabetes—aiming to visualize drug interactions, identify harmful combinations (especially in regimens of 10+ drugs), and reduce risks such as frailty, adverse outcomes, and mortality.

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