Nail Salon Tryon: NailARVR
NailARVR is a real-time virtual nail salon try-on application developed by EDGIST Labs. It uses on-device augmented reality and machine learning to let users visualize nail designs, gel coats, and salon treatments directly on their hands with sub-50ms latency spatial tracking.
Core Capabilities
NailARVR provides a comprehensive suite of augmented reality features designed for both consumers exploring nail designs and salon professionals showcasing their services.
Real-Time AR Nail Visualization
Users point their device camera at their hands to instantly preview nail polish colors, gel coats, nail art patterns, and French tip designs rendered in real-time with sub-50ms latency.
Extensive Design Library
Access a curated catalog of nail designs including solid colors, ombre gradients, glitter overlays, geometric patterns, and seasonal collections updated regularly.
Salon Discovery & Booking
Location-based salon finder with verified listings, service menus, pricing comparisons, user reviews, and in-app appointment booking.
AI Color Matching
On-device machine learning analyzes skin tone and lighting conditions to recommend complementary nail colors and designs personalized to each user.
Technology Stack
NailARVR is built on a native-first architecture leveraging Apple and Google platform frameworks for maximum performance and deterministic rendering. The application does not rely on cross-platform abstractions, ensuring the lowest possible latency for real-time AR experiences.
iOS Platform
- •SwiftUI — Declarative UI framework for native iOS rendering
- •ARKit + RealityKit — Apple's spatial computing frameworks for hand and nail tracking
- •Core ML — On-device machine learning for skin tone analysis and color recommendation
- •AVFoundation — Low-level camera pipeline for real-time frame processing
- •iOS 18 ControlWidgets — Lock screen and Control Center quick-access integration
Android Platform
- •Jetpack Compose — Modern declarative UI toolkit for Android
- •ARCore — Google's augmented reality SDK for spatial tracking and scene understanding
- •ML Kit — On-device machine learning for hand detection and color analysis
- •CameraX — Jetpack camera library for consistent frame capture across devices
Platform Availability
NailARVR is available on both major mobile platforms. Developed and maintained by EDGIST Labs, headquartered in Lisbon, Portugal.
iOS
Requires iOS 16+
Android
Requires Android 10+