| Students | Rameen Khan
|
| School | HDSB - Elsie Macgill Secondary School - Milton |
| Level | Intermediate 9/10 - Grade 10 |
| Group | Group 9 - Health Sciences II |
| Abstract | This project develops and validates a smartphone-based computer vision system to quantitatively track wound healing and assess infection risk. It provides accessible, ongoing monitoring that supports early detection of delayed healing while prioritizing measurable accuracy. The system also emphasizes explainable AI outputs, helping users and healthcare providers understand the results and make informed decisions for better wound care management. |