My Role
Technical Lead
Team
- - Allen Liu- Allen Liu; Fullstack Dev
- - Steven Zhang- Steven Zhang; Frontend Dev
- - Sandro Gopal- Sandro Gopal; Backend Dev
Tools and Software
Note
GeomPT was developed as part of HackMIT 2024, MIT's 24 hour hackathon. It earned second place overall out of 200+ teams.
Overview
GeomPT is an AI-powered web platform for physical therapy providers to track and analyze patients' range of motion (ROM) over time, addressing patient non-adherence and improving rehabilitation outcomes through data-driven insights and enhanced plan-of-care adherence. The platform is designed to assist rather than replace professional physical therapists, supporting both the patient and provider throughout a prescribed program.
GeomPT organizes patient recovery plans, compiling all prescribed exercises in one place with video and text instructions, along with prescribed sets and reps for easy reference.
The platform leverages OpenCV and Mediapipe's Pose Model to automatically measure and track key joint angles during physical therapy exercises. By analyzing video data sent across websockets in real time, GeomPT provides clinicians and patients with granular recovery insights.
All patient progress and exercise data are securely stored in Firebase, allowing providers to review, monitor, and adjust treatment plans based on objective ROM metrics and patient performance trends. LLM data analysis provides 'at-a-glance' insights into patient health and recovery progress.