YOLOv8 Real-Time Object Detection System

Interface

Live detection plus monitoring

Focus

Inference and analytics

Problem

Built a real-time computer vision interface with live detection, model analytics, and a Streamlit monitoring layer for reviewing output.

My contribution

Computer Vision Developer

Built a monitoring interface for live detection output.
Added analytics views for model setup and results.
Presented training and performance data in one workflow.

Delivered solution

This project combined model evaluation with a browser-based monitoring interface for real-time object detection. I focused on the interface and presentation layer that showed live detections, model setup, analytics, and training results in a way that was easier to review and explain.

Technology

Python
YOLOv8
PyTorch
OpenCV
Streamlit