Xenon Notes

Problem

Traditional notetaking apps lack intelligent features that could help users:

• Organize information automatically: Users spend time manually categorizing and tagging notes.
• Surface relevant context: Finding related notes requires manual search and memory.
• Leverage spatial interfaces: Existing apps don’t take advantage of new spatial computing capabilities.

Approach

Xenon Notes is an AI-powered notetaking app built natively for Apple platforms, designed to make note management more intelligent and intuitive.

Key Features

• AI-powered organization Leverages on-device machine learning to automatically categorize and tag notes based on content.

• Native Apple experience Built with SwiftUI for a responsive, native interface that follows Apple’s Human Interface Guidelines.

• RealityKit integration Explores spatial computing capabilities for immersive note visualization and interaction.

• Privacy-first design AI processing happens on-device using Core ML, keeping user data private.

Technical Highlights

• 100% Swift: Native performance and tight platform integration.
• SwiftUI architecture: Declarative UI with reactive data flow.
• RealityKit content: Spatial computing features for visionOS compatibility.
• Comprehensive testing: XCTest suite for reliability.

Outcomes

• Exploring the intersection of AI and spatial computing for productivity applications.
• Learning and applying the latest Apple platform technologies including visionOS and RealityKit.
• Building a foundation for AI-enhanced productivity tools on Apple platforms.

Key Contributions

• Designed and implemented a native Swift application with AI capabilities.
• Integrated RealityKit for spatial computing features.
• Built a privacy-first architecture using on-device ML processing.
• Created a modern SwiftUI-based interface following Apple design guidelines.