Taekwondo Detection Platform

TypeScript

React

Django

Python

Research platform combining a Django/Python backend with a TypeScript/React frontend for AI-assisted Taekwondo movement detection. Institutional research seminar work paired with a published academic poster — demonstrating end-to-end ownership across ML, backend and frontend.

Project highlights

Vision-Model Integration: The platform feeds annotated training-session footage into a detection pipeline that flags key movement patterns, exposing the results through a React dashboard for coach review.
Academic Output: The work was presented as a research poster at the institutional seminar — a tangible artifact bridging applied AI engineering with formal academic validation.
Cross-Stack Architecture: Django + DRF on the backend cleanly separates the inference layer from the TypeScript frontend, letting either side iterate without breaking the API contract.