Shared lobby & rounds
Nearby players join a shared game, receive letter-based challenges and accumulate points across rounds.
Back to work
Object-scanning multiplayer game
A multiplayer iOS game where players race to find and scan objects, using Core ML, Vision, YOLOv8 and peer-to-peer connectivity.
My roleTeam developerOriginal project post
The team behind our object-scanning multiplayer project.
SourceOverview
The team explored a game for icebreaking and team bonding: a random letter is selected, and players race to find and scan a matching object in the real world.
Project statusAcademy team prototype
Scope
A multiplayer iOS game for icebreaking and team bonding. Players receive a letter challenge, search their surroundings and scan a real object to compete across rounds.
Main features
Real-world object scanning
Camera-based recognition connects objects in the player’s surroundings to the current challenge.
Voice & spatial experiments
The source also explores voice input and AR capabilities alongside the core scanning and multiplayer experience.
Technology
Swift & SwiftUI
Native interface and game-state presentation.
Core ML & Vision
On-device object-detection integration.
YOLOv8
The object-detection model family used for scanning.
Multipeer Connectivity
Nearby peer-to-peer multiplayer communication.
Speech & AVFoundation
Voice input and audiovisual platform capabilities.
ARKit & RealityKit
Spatial and augmented-reality experiments in the retained source.
Engineering approach
Connect recognition to a game rule
Object detection has to feed the shared challenge and scoring flow, making recognition useful within a social game rather than as an isolated camera demo.
Coordinate players and local input
The project combines peer communication, camera recognition and interface state. It was built as a team prototype, without a public launch or adoption claim.
What I worked on
- Built the project with an Academy team using SwiftUI.
- Used Multipeer Connectivity for peer-to-peer play.
- Integrated Core ML and Vision for object detection with YOLOv8, plus Speech for voice input.
Results & scope
On-device ML
object recognition with Core ML & Vision
- A multiplayer project combining shared lobbies, letter-based challenges, object scanning and scoring across rounds.
- Practical experience connecting on-device recognition with a collaborative game experience.
Built as an Apple Developer Academy team project for shared play and team bonding.
Project references
Original project postAnother project
Atlas AI
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