Inspiration: The idea for this project was inspired by research conducted by several universities, which focused on tracking finger misalignments using physical systems. These systems, while effective, are typically large, rigid, and require customization for each user. This limits their flexibility and practicality, especially for widespread testing across different age groups, from children to adults. These traditional systems are also designed to detect orthopedic issues like arthritis or developmental misalignments in children. However, they require users to wear physical gloves or tracking devices, which may not be suitable for all hand shapes and sizes. Motivated by these limitations, I set out to create a more accessible and adaptable solution. This project offers a preliminary, non-invasive way to test for finger alignment issues using technology that doesn’t rely on wearable hardware.

What it does: Ortho Alignment Tracker is a contactless hand assessment tool that uses computer vision to analyze hand and finger positions in real time. It detects potential misalignments, irregular finger movements, or posture abnormalities—all without the need for physical devices like gloves or sensors. The system captures a video feed (from a standard webcam or device camera), tracks finger joint angles and positions using AI-driven hand landmark detection, and flags unusual patterns that may indicate early signs of orthopedic conditions like arthritis, developmental misalignments in children, or motor function irregularities. Designed for use across all age groups—from children to seniors—it serves as a fast, non-invasive, and cost-effective preliminary screening tool. The product can be used at home, in schools, or in clinical environments, making orthopedic pre-checks more accessible and user-friendly.