Waya Femi

I've built a real-time campus security system that detects and tracks people and threat objects such as knives and guns using custom computer vision models.

For my final-year project, I managed the end-to-end machine learning pipeline with Python, YOLOv11n, ByteTrack, Roboflow, Flask, and SQLite. I trained and evaluated custom datasets to achieve an mAP@0.5 of 0.60, while building a dashboard that logs detections, triggers alerts, and captures screenshots of flagged threats.

I've also developed and deployed an interactive auto dealership application that connects vehicle-listing interfaces with backend dealership-management logic.

Alongside AI work, I design responsive client-facing landing pages and static web builds deployed on Netlify. My work spans auto sales, airline information, e-commerce-style product pages, restaurant branding, and fast static deployment concepts.