# Project export: Aegis Command This document was generated by HackStack to give an AI agent context about a hackathon project. Sections are labeled with their provenance; content marked as truncated was cut to keep this document small. ## Project metadata - Hackathon: TreeHacks 2025 - Tagline: A cutting-edge, AI-driven mission intelligence system that doesn’t just track data—it understands, adapts, and takes action in real time to optimize squad readiness and make life-saving decisions. - Devpost: https://devpost.com/software/aegis-command - GitHub: https://github.com/shaashvat01/tree - Demo: https://v0-new-project-nhhecb7ns8k-ojqdea.vercel.app/ - Video: https://www.youtube.com/embed/1Xa9xg3BdDQ?enablejsapi=1&hl=en_US&rel=0&start=&version=3&wmode=transparent - Team: 1 GitHub contributor(s) — Shaashvat Mittal (8 commits) ## Devpost submission (written by the team) ### Inspiration In modern military operations, commanders must make split-second decisions that impact mission success and soldier safety. But with overwhelming data streams, how do we ensure that critical insights are not lost? We envisioned an AI-powered command system that doesn’t just track soldier performance—it analyzes, predicts, and acts in real time. Our goal was to build something that could enhance combat readiness, prevent injuries, and optimize tactical strategies before risks escalate. That’s how Aegis Command was born—a mission intelligence system that moves from reactive responses to proactive decision-making. ### What it does Aegis Command is a real-time AI-powered military operations dashboard that: Monitors squad health using real-time biometrics (heart rate, fatigue, hydration) via Terra API Predicts risks like exhaustion or dehydration and autonomously suggests tactical adjustments Provides mission control for real-time squad formation, movement tracking, and adaptive strategy recommendations Integrates AI-powered chat for commanders to ask questions and receive instant insights Enables rapid medical assistance, automatically detecting distress and deploying medical teams Utilizes data-driven squad allocation, ensuring the right soldiers are deployed at the right time By combining real-time data, AI-driven insights, and automation, Aegis Command maximizes operational efficiency and soldier safety. ### How we built it Aegis Command is built using a cutting-edge tech stack, integrating multiple powerful tools: 💻 Frontend (Built with Vercel v0): Next.js & TypeScript for a scalable and responsive UI Tailwind CSS & Shadcn UI for modern, intuitive design Recharts & Lucide React for real-time visual analytics 💻 Frontend (Built with Vercel v0): Next.js & TypeScript for a scalable and responsive UI Tailwind CSS & Shadcn UI for modern, intuitive design Recharts & Lucide React for real-time visual analytics 🖥️ Backend & AI Integration Terra API for wearable biometric data Perplexity API for AI-powered decision-making & command interaction WebSockets for real-time mission updates 🖥️ Backend & AI Integration Terra API for wearable biometric data Perplexity API for AI-powered decision-making & command interaction WebSockets for real-time mission updates 🔍 Intelligent Processing Dynamic squad formation algorithms based on performance metrics AI-driven risk assessment & tactical recommendations Predictive health analysis for proactive medical alerts 🔍 Intelligent Processing Dynamic squad formation algorithms based on performance metrics AI-driven risk assessment & tactical recommendations Predictive health analysis for proactive medical alerts We leveraged Vercel v0 to rapidly prototype and deploy a fully functional, interactive AI-driven military command center in record time. ### Challenges we ran into Building an AI-powered command system in a short timeframe came with several challenges: Integrating real-time biometric data – We worked with Terra API to simulate wearable health data, ensuring accuracy in squad health monitoring. Developing proactive AI – Instead of waiting for user input, we designed AI models that autonomously suggest tactical changes. Ensuring real-time updates – Military decisions require instantaneous insights, so we optimized WebSocket-based live updates to ensure zero delay. Optimizing UI for mission-critical use – Every second counts in the field. We designed the UX/UI for speed, clarity, and rapid decision-making. Despite these challenges, we pushed through to create a high-impact, AI-driven military intelligence platform. ### Accomplishments we're proud of In just a short time, we built a fully operational AI-powered mission command center. Our key achievements: Successfully integrated real-time health monitoring using Terra API Developed AI-driven tactical decision-making for autonomous risk assessment Created a dynamic squad formation system, ensuring optimal mission readiness Designed a seamless AI assistant for commanders to interact with live battlefield data Built a visually stunning, high-performance UI using Vercel v0 Enabled autonomous medical alerts for proactive health management We’re proud to have created a system that goes beyond data tracking—one that actively protects and optimizes soldiers’ well-being in the field. ### What we learned This project pushed us to the cutting edge of AI-driven mission intelligence. AI can be proactive, not just reactive – By designing AI to predict, recommend, and act autonomously, we unlocked a new level of operational intelligence. Data visualization matters – Commanders need instant clarity, so we optimized UI/UX to present complex insights in seconds. Real-time updates require smart optimization – We fine-tuned WebSockets & API integrations to keep data live and responsive. The right tools accelerate development – Using Vercel v0, Terra API, and Perplexity AI, we built a production-ready platform faster than we thought possible. Above all, we learned that technology can save lives—when designed to anticipate risks and act before they happen. ### What's next Aegis Command is just the beginning. The future of AI-powered military operations includes: AI-driven mission planning – Training AI to autonomously adjust squad formations and optimize tactical strategies. Expanding integrations – Incorporating satellite data, environmental monitoring, and real-time threat detection. Enhanced medical AI – Implementing real-time anomaly detection to proactively identify critical health risks. Scaling beyond military use – Aegis Command can be adapted for emergency response teams, disaster relief operations, and elite sports training. We’re building an AI-driven command center that redefines the future of mission intelligence. ## README (from the GitHub repository) # Aegis Command ## Overview Aegis Command is an AI-driven mission intelligence system designed to monitor, analyze, and optimize soldier performance in real-time. It predicts risks, enhances squad readiness, and automates decision-making, helping military teams maintain operational efficiency and ensure personnel safety. By integrating the Terra API for real-time health monitoring, AI-powered analytics for performance evaluation, and Zoom for instant communication, Aegis Command functions as a proactive command center that delivers actionable intelligence. ## Key Features ### Real-Time Health & Performance Tracking - Monitors heart rate, fatigue, hydration, and readiness using the Terra API. - Dynamically groups soldiers into squads based on live performance metrics. - Alerts commanders to potential health risks before they become critical. ### AI-Powered Tactical Insights - Uses machine learning to analyze past mission data and predict exhaustion, injuries, or performance drops. - Provides real-time tactical recommendations based on squad readiness. - Automatically alerts medical teams if critical health conditions are detected. ### Secure Communication & Command Execution - Zoom integration enables real-time communication between squads and commanders. - AI-driven chat interface (powered by Perplexity API) allows instant data retrieval and decision support. ### Interactive Command Dashboard - Built using Next.js, Tailwind CSS, and Vercel v0 for efficient development and deployment. - Fully responsive UI with intuitive charts, squad overviews, and AI alerts. - Live mission updates through WebSocket integration. ## Tech Stack | Category | Technology Used | |-----------------------|-----------------| | **Frontend** | Next.js, Tailwind CSS, ShadCN, Recharts | | **Backend** | Terra API | | **AI & Analytics** | Perplexity API, Time-Series Forecasting | | **Real-Time Updates** | WebSockets | | **Communication** | Zoom SDK Integration | | **Deployment** | Vercel (v0 for frontend development) | ## How It Works 1. Terra API collects live biometric data from soldiers. 2. AI analyzes trends, predicts risks, and updates squad formations dynamically. 3. Commanders receive real-time squad health insights on the dashboard. 4. If critical issues arise, AI automatically alerts medical teams and suggests tactical adjustments. 5. Soldiers and commanders communicate via Zoom, ensuring seamless mission execution. ## Detected evidence (automated analysis) Indexed codebase: 47 recognized source files, 147 KB. - CSS (language) — detected in the code - Next.js (technology) — detected in the code - React (technology) — detected in the code - Tailwind CSS (technology) — detected in the code - TypeScript (language) — detected in the code - Vercel AI SDK (technology) — detected in the code - Express (technology) — claimed on Devpost, not found in the code - Node.js (technology) — claimed on Devpost, not found in the code - OpenAI (technology) — claimed on Devpost, not found in the code - Vercel (technology) — claimed on Devpost, not found in the code ## Codebase structure (from repository index) ### Files (55 of 55) ``` .DS_Store my-app/.eslintrc.json my-app/.gitignore my-app/app/ai-tactical/page.tsx my-app/app/api/perplexity-search/route.ts my-app/app/api/squad-health/route.ts my-app/app/api/weather/route.ts my-app/app/globals.css my-app/app/layout.tsx my-app/app/medical-assistance/page.tsx my-app/app/mission-control/page.tsx my-app/app/page.tsx my-app/app/settings/page.tsx my-app/app/squad-health/page.tsx my-app/components.json my-app/components/ai-intelligence-search.tsx my-app/components/medical-assistance/emergency-assistance.tsx my-app/components/medical-assistance/status-panel.tsx my-app/components/medical-assistance/symptom-description-chat.tsx my-app/components/sidebar.tsx my-app/components/theme-provider.tsx my-app/components/top-navbar.tsx my-app/components/ui/alert.tsx my-app/components/ui/avatar.tsx my-app/components/ui/badge.tsx my-app/components/ui/button.tsx my-app/components/ui/card.tsx my-app/components/ui/input.tsx my-app/components/ui/label.tsx my-app/components/ui/progress.tsx my-app/components/ui/scroll-area.tsx my-app/components/ui/select.tsx my-app/components/ui/separator.tsx my-app/components/ui/sheet.tsx my-app/components/ui/sidebar.tsx my-app/components/ui/skeleton.tsx my-app/components/ui/slider.tsx my-app/components/ui/switch.tsx my-app/components/ui/tabs.tsx my-app/components/ui/tooltip.tsx my-app/hooks/use-commander-chat.ts my-app/hooks/use-mobile.tsx my-app/hooks/use-websocket.ts my-app/lib/utils.ts my-app/next.config.mjs my-app/package.json my-app/postcss.config.mjs my-app/README.md my-app/server/websocket-server.ts my-app/styles/globals.css my-app/tailwind.config.ts my-app/tsconfig.json my-app/utils/api-helpers.ts my-app/utils/formatText.ts README.md ``` ### Dependencies - my-app/package.json: @ai-sdk/openai-compatible@^0.1.10, @radix-ui/react-avatar@^1.1.3, @radix-ui/react-dialog@^1.1.6, @radix-ui/react-label@^2.1.2, @radix-ui/react-progress@^1.1.2, @radix-ui/react-scroll-area@^1.2.3, @radix-ui/react-select@^2.1.6, @radix-ui/react-separator@^1.1.2, @radix-ui/react-slider@^1.2.3, @radix-ui/react-slot@^1.1.2, @radix-ui/react-switch@^1.1.3, @radix-ui/react-tabs@^1.1.3, @radix-ui/react-tooltip@^1.1.8, @types/node@^20, @types/react@^18, @types/react-dom@^18, ai@^4.1.41, class-variance-authority@^0.7.1, clsx@^2.1.1, eslint@^8, eslint-config-next@14.2.16, lucide-react@^0.475.0, next@14.2.16, next-themes@^0.4.4, postcss@^8, react@^18, react-dom@^18, recharts@^2.15.1, tailwind-merge@^3.0.1, tailwindcss@^3.4.17, tailwindcss-animate@^1.0.7, typescript@^5, ws@^8.18.0 ### Recent commits (newest first) - Update README.md - Update README.md - final - perplexity working - new - adding zoom - fix - added zoom - initial setup - Initial commit ## Key source files (fetched from GitHub, selected and truncated for size) ### my-app/package.json ``` { "name": "my-app", "version": "0.1.0", "private": true, "scripts": { "dev": "next dev", "build": "next build", "start": "next start", "lint": "next lint" }, "dependencies": { "@ai-sdk/openai-compatible": "^0.1.10", "@radix-ui/react-avatar": "^1.1.3", "@radix-ui/react-dialog": "^1.1.6", "@radix-ui/react-label": "^2.1.2", "@radix-ui/react-progress": "^1.1.2", "@radix-ui/react-scroll-area": "^1.2.3", "@radix-ui/react-select": "^2.1.6", "@radix-ui/react-separator": "^1.1.2", "@radix-ui/react-slider": "^1.2.3", "@radix-ui/react-slot": "^1.1.2", "@radix-ui/react-switch": "^1.1.3", "@radix-ui/react-tabs": "^1.1.3", "@radix-ui/react-tooltip": "^1.1.8", "ai": "^4.1.41", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "lucide-react": "^0.475.0", "next": "14.2.16", "next-themes": "^0.4.4", "react": "^18", "react-dom": "^18", "recharts": "^2.15.1", "tailwind-merge": "^3.0.1", "tailwindcss-animate": "^1.0.7", "ws": "^8.18.0" }, "devDependencies": { "@types/node": "^20", "@types/react": "^18", "@types/react-dom": "^18", "eslint": "^8", "eslint-config-next": "14.2.16", "postcss": "^8", "tailwindcss": "^3.4.17", "typescript": "^5" } } ``` ### my-app/app/layout.tsx ```typescript import type React from "react" import "./globals.css" import { Inter } from "next/font/google" import { SidebarProvider } from "@/components/ui/sidebar" import TopNavbar from "@/components/top-navbar" import Sidebar from "@/components/sidebar" const inter = Inter({ subsets: ["latin"] }) export const metadata = { title: "Aegis Command Dashboard", description: "Real-time health metrics and AI-powered decision-making", generator: "v0.dev", } export default function RootLayout({ children, }: { children: React.ReactNode }) { return (
{children}
 ) } import "./globals.css" import "./globals.css" import "./globals.css" ``` ### my-app/app/page.tsx ```typescript import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card" import { Activity, Briefcase, FileText, AmbulanceIcon as FirstAid } from "lucide-react" import Link from "next/link" export default function Home() { return (

Aegis Command Dashboard

} link="/squad-health" /> } link="/ai-tactical" /> } link="/mission-control" /> } link="/medical-assistance" />
) } function DashboardCard({ title, description, icon, link }) { return ( {icon} {title}

{description}

 ) } ``` ### my-app/app/medical-assistance/page.tsx ```typescript "use client" import { useState, useEffect } from "react" import { useWebSocket } from "@/hooks/use-websocket" import { StatusPanel } from "@/components/medical-assistance/status-panel" import { EmergencyAssistance } from "@/components/medical-assistance/emergency-assistance" import { SymptomDescriptionChat } from "@/components/medical-assistance/symptom-description-chat" // Mock data for demonstration const initialMedicalData = { availableMedics: 3, emergencySupplies: 75, vaccinationStatus: 92, } const mockMedicalReports = [ { id: 1, date: "2025-01-15", description: "Annual check-up - All clear" }, { id: 2, date: "2025-03-22", description: "Minor sprain during training - Treated" }, { id: 3, date: "2025-06-10", description: "Routine vaccination update" }, ] const mockNearbyMedics = [ { id: 1, name: "Medic Team Alpha", distance: "0.5 km", eta: "3 mins" }, { id: 2, name: "Field Hospital Bravo", distance: "2.1 km", eta: "8 mins" }, { id: 3, name: "Medevac Charlie", distance: "5.0 km", eta: "15 mins" }, ] export default function MedicalAssistancePage() { const [medicalData, setMedicalData] = useState(initialMedicalData) const [isEmergency, setIsEmergency] = useState(false) const { isConnected, lastMessage, sendMessage } = useWebSocket("wss://your-websocket-server.com/medical-assistance") useEffect(() => { if (lastMessage) { if (lastMessage.type === "medicalUpdate") { setMedicalData(lastMessage.value) } else if (lastMessage.type === "emergencyStatus") { setIsEmergency(lastMessage.value) } } }, [lastMessage]) useEffect(() => { // Simulate real-time updates const interval = setInterval(() => { setMedicalData((prev) => ({ ...prev, availableMedics: Math.max(0, prev.availableMedics + Math.floor(Math.random() * 3) - 1), emergencySupplies: Math.max(0, Math.min(100, prev.emergencySupplies + Math.floor(Math.random() * 5) - 2)), })) }, 10000) return () => clearInterval(interval) }, []) const handleRequestAssistance = () => { setIsEmergency(true) sendMessage({ type: "emergencyRequest", value: true }) // In a real application, this would trigger alerts to commanders and medics alert("Emergency medical assistance requested. Medics have been alerted.") } return (

Medical Assistance

) } ``` ### my-app/app/ai-tactical/page.tsx ```typescript "use client" import { useState, useEffect } from "react" import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card" import { Button } from "@/components/ui/button" import { Progress } from "@/components/ui/progress" import { AlertTriangle, CheckCircle } from "lucide-react" import { useWebSocket } from "@/hooks/use-websocket" // Mock data for demonstration const mockSuggestions = [ { id: 1, text: "Suggest hydration break for Squad Alpha", severity: "low" }, { id: 2, text: "Recommend mission delay due to extreme weather conditions", severity: "high" }, { id: 3, text: "Advise formation swap to improve defensive posture", severity: "medium" }, ] export default function AITacticalAdjustments() { const [readiness, setReadiness] = useState(75) const [activeSuggestion, setActiveSuggestion] = useState(mockSuggestions[0]) const { isConnected, lastMessage } = useWebSocket("wss://your-websocket-server.com/ai-tactical") useEffect(() => { if (lastMessage) { if (lastMessage.type === "readiness") { setReadiness(lastMessage.value) } else if (lastMessage.type === "suggestion") { setActiveSuggestion(lastMessage.value) } } }, [lastMessage]) // Simulate real-time updates useEffect(() => { const interval = setInterval(() => { setReadiness((prev) => Math.max(0, Math.min(100, prev + Math.random() * 10 - 5))) setActiveSuggestion(mockSuggestions[Math.floor(Math.random() * mockSuggestions.length)]) }, 5000) return () => clearInterval(interval) }, []) return (

AI Tactical Adjustments

Live Tactical Suggestions

Current Suggestion:

{activeSuggestion.text}

{activeSuggestion.severity.charAt(0).toUpperCase() + activeSuggestion.severity.slice(1)} Priority
Mission Readiness
{readiness.toFixed(1)}%
Tactical Recommendations
) } function ReadinessIndicator({ readiness }: { readiness: number }) { if (readiness >= 80) { return (
High Readiness
) } else if (readiness >= 50) { return (
Moderate Readiness
) } else { return (
Low Readiness - Caution Advised
) } } function TacticalRecommendations() { return (

Hydration Status

Squad Bravo showing signs of dehydration. Recommend immediate water break.

Weather Impact

Incoming sandstorm detected. Suggest postponing non-critical operations for 2 hours.

Equipment Status

Night vision goggles for Squad Charlie malfunctioning. Advise immediate replacement. [truncated — 44 more characters] ``` ### my-app/app/settings/page.tsx ```typescript "use client" import { useState } from "react" import { useTheme } from "next-themes" import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card" import { Label } from "@/components/ui/label" import { Input } from "@/components/ui/input" import { Button } from "@/components/ui/button" import { Switch } from "@/components/ui/switch" import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select" import { Slider } from "@/components/ui/slider" import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs" import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar" import { AlertCircle, Moon, Sun } from "lucide-react" export default function SettingsPage() { const { setTheme, theme } = useTheme() const [loading, setLoading] = useState(false) const handleSave = async () => { setLoading(true) // Simulating an API call await new Promise((resolve) => setTimeout(resolve, 1000)) setLoading(false) } return (

Settings

User Profile AI & Autonomy Squad & Mission Display & Theme User Profile Settings Manage your personal information and notification preferences.
JD
AI & Autonomy Settings Configure AI assistance and autonomy levels.
Squad & Mission Preferences Manage squad roles and mission settings.