This project focuses on building and optimizing a real-time face detection system using lightweight YOLOv5 models, with deployment on resource-constrained edge hardware (NVIDIA Jetson Nano).
This project demonstrates the end-to-end deployment of a local Infrastructure-as-a-Service (IaaS) cloud using Apache CloudStack in a homelab environment. The goal was to simulate real-world cloud architecture by building a fully operational private cloud capable of provisioning and managing virtual machines.