SkyGuard
A YOLOv8 computer-vision model trained on Roboflow-managed datasets for aviation object detection.
navigation
story layer
A richer project page with gallery, stack, links, and case-study copy.
Project narrative
A YOLOv8 computer-vision model trained on Roboflow-managed datasets for aviation object detection.
architecture note
components -> hooks -> services
-> repositories -> supabase
server routes:
github sync -> supabase cache
chatbot -> portfolio contextOutcome
Built as a polished portfolio surface
Surface
CMS managed detail page
Data
Supabase localized content
SkyGuard
Links
presentation block
Path
/en/projects/skyguard
Project sections, galleries, architecture notes, and demo links can be expanded from the admin workflow.
Problem
Aircraft detection requires domain-specific datasets and a repeatable model training and evaluation workflow.
Solution
Python, YOLOv8, Roboflow, and computer-vision tooling form the data preparation and detection pipeline.
Role
Dataset preparation, model training, evaluation, and computer-vision pipeline development.
