NOTE: Ensure app is not run on WSU Network due to firewall restrictions, out team ran the app on a personal hotspot for best results.

Team:

• Hiruna Yevin Dissanayake
• Kevin Herrera
• Levi Chapman

About: Threat visualization and assessment software.

• IOS camera application: detects target and captures vitals, vitals are then transmitted to back end
• Back end: Calculates risk score and risk level from gathered data and established live feed to front end dash board
• Dashboard: Renders current risk, metrics and live feed of camera with risk level of target.

IOS APP:

• Swift and SwiftUI
• Presage Technologies SmartSpectraSwiftSDK for vitals
• Sends metrics to backend

Back end (http://localhost:8080/):

• Node.js
• Express
• Socket.IO to push to dashboard

Dashboard (http://localhost:3000/):

• Next.js
• React
• socket.IO client
• CSS

Example payload from json { "heartRate": 70, "breathingRate": 15, "stressIndex": 0.5 "engagement": 1.0, "frameBase64": ... (Camera data for live preview of subject) }

Build and Run Front End:

• cd dashboard/
• npm install
• npm run dev
• runs on http://localhost:3000/

Back End:

• cd backend/
• npm install
• npm run dev
• runs on http://localhost:8080/

IOS App: Build and Run through Xcode