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PROJECT 03 // Social
CASE STUDY & SYSTEM BLUEPRINT
GOCRUSH
Dating app with real identity checks.
ROLE
LEAD MOBILE DEVELOPER
SECTOR
SOCIAL & ML VERIFICATION
TIMELINE / YEAR
2024
SYSTEM CATEGORY
Social
SCREENSHOT 1 OF 2
SYSTEM ARCHITECTURE & DESIGN INTENT
GoCrush reimagines authentic mobile dating through on-device machine learning. Built in Flutter with Firebase Authentication and Firestore-based card swiping, it integrates Google ML Kit for real-time biometric face verification, a radar proximity radar, and RevenueCat subscription monetization.
CORE CAPABILITIES
On-Device ML Kit Face Verification & Liveness
Firestore High-Speed Swipe Matching Algorithm
Dynamic Geolocation Proximity Radar
RevenueCat Subscription & Tier Monetization
BENCHMARK METRICS
VerificationML Kit AI
DatabaseFirestore
BillingRevenueCat
ENGINEERING STACK
FlutterFirebaseML KitRevenueCatAdMob