48-hour native iOS MVP
Sentinel
Predictive home maintenance powered by climate-risk AI.
- ownership
- Design Engineer — designed & built
- timeframe
- 2 days (48-hour hackathon)
- stack
- Figma, Swift, SwiftUI, weather data
- proof
- public repo / demo video / public post
- outcome
- Winner · Google × SCAD FLUX Hackathon 2025
decision
Predictive iOS maintenance app that turns weather risk into prioritized homeowner actions.
build path
Designed in Figma → built a native SwiftUI MVP → presented as a working hackathon prototype.
scope
Build time
48h
Prototype proof
Native iOS demo video
Source proof
Public SwiftUI repository
github.com/minwookshin/sentinel
outcome proof
Actual
Winner · Google × SCAD FLUX Hackathon 2025
Recruiter proof
Built fast, shipped native, publicly verifiable
48h
Hackathon build
SwiftUI
Native iOS MVP
Public repo
Source-code proof
The problem
Homeowners manage their biggest asset on gut feeling
Climate volatility is the new normal, and invisible risks get ignored until they become $200,000 disasters. A $100 inspection skipped today becomes catastrophic failure tomorrow, reactive crisis management instead of prevention.
$200K+
Storm damage ignored
$100
Basic inspection
Target user
Alex, 35
Doctor · New homeowner
Moved into a 2010 home
Worries about hidden storm damage
Wants to stop guessing and start preventing
The build
From design to code, by one person
Rapid visual prototyping
Risk-visualization interfaces designed under extreme time constraints, clarity and emotional weight for high-stakes decisions.
Native iOS implementation
A vulnerability-scoring engine in Swift + SwiftUI, fed by historical weather data to compute predictive risk scores in real time.
The work
Three pillars of predictive maintenance
Feature 1
Historical risk timeline
Visualize past weather events and their financial impact on the property, so risk feels concrete instead of abstract.
Feature 2
Weather alerts & forecasting
Real-time alerts and climate forecasting to prepare for incoming storms and extreme-weather events before they hit.
Feature 3
Actionable maintenance tasks
A prioritized checklist of preventive actions ranked by risk severity and urgency, guesswork replaced with a plan.
Outcome
Shipped a fully functional iOS MVP in a 48-hour sprint, validating predictive maintenance through real climate-data integration and user testing.
Won 1st place at the Google × SCAD FLUX Hackathon 2025, proof that climate-risk analytics can be turned into a usable, native homeowner tool, fast.