IMPLEMENTATION AND ANALYSIS OF A VIRTUAL PRIVATE SERVER FOR A ONE HEALTH SURVEILLANCE SYSTEM

This project focuses on the implementation and analysis of a Virtual Private Server (VPS) for a Digital One Health Surveillance System. The aim of the work is to ensure a stable and reliable infrastructure that can support both the core system components and integrated AI health models without interruptions. The One Health approach requires a platform that can process data from human, animal, and environmental health sources in real time, and this can only be achieved with a server that offers improved performance, security, and scalability. In this project, a Hostinger KVM2 VPS was deployed and configured with EasyPanel, aPostgreSQL database, and both the frontend (React) and backend (Node.js) services. AI health
models were installed locally using Ollama, and a benchmarking script was developed to measure and compare the performance of different models. These tests helped verify that the upgraded VPS could run AI model inference alongside the application without system crashes or database shutdowns, which was a major limitation of the previous VPS setup.