AI Mission Control

Project Summary

This deployment set up a complete Ubuntu VPS from scratch. Nginx was installed and configured to serve a three-page static site on port 80: a polished Home page (Mission Control landing with live system info), a live Dashboard with real-time server metrics, and an interactive Server Defender game. The entire site uses vanilla HTML/CSS/JS — zero frameworks. A Node.js API on port 8090 reads real-time metrics from /proc/meminfo, /proc/loadavg, df, and uptime — serving them as JSON. All pages poll this API automatically (every 5-30 seconds) to show live numbers instead of static values.

Completion Summary

✅ Commands Ran

apt update && apt upgrade -y
apt install -y nginx nodejs (v18.19.1)
Created /var/www/ai-challenge with all files
Configured Nginx server block on port 80
Deployed Node.js API on port 8090 for live data
Set permissions and verified all pages serve correctly

📄 Files Created

/var/www/ai-challenge/index.html — Home page
/var/www/ai-challenge/dashboard/index.html — Dashboard
/var/www/ai-challenge/game/index.html — Server Defender game
/var/www/ai-challenge/api-server.js — Live data API server
/etc/nginx/sites-available/ai-challenge — Nginx config
/var/www/ai-challenge/README.md

📋 Final Paths

Home: http://<IP>/
Dashboard: http://<IP>/dashboard
Game: http://<IP>/game
Project: /var/www/ai-challenge
API: http://127.0.0.1:8090 (live system data)

⚠️ Issues & Fixes

API server fetches real-time system metrics via /proc/meminfo, /proc/loadavg, df -h, uptime
/api/system returns cpu(load1/load5), ram(total/used/pct), disk(percent/total/used), loadAvg, uptime
All HTML pages fetch from API every 30s (home) or 5s (dashboard) via setInterval
Nginx proxies /api/* → Node.js :8090 with CORS enabled and Cache-Control: no-cache
CPU% = load1/cores * 100; RAM% = (MemTotal-MemAvailable)/MemTotal * 100; Disk from df -h
Game uses touch/click events on canvas with distance-based enemy hit detection