Outside of school & work

Native SwiftUI training app for climbers with workout logging and progress visuals.

• Modular SwiftUI components with @State/@ObservedObject and CoreData persistence.
• Dynamic forms, automatic load calculations, and Swift Charts progress graphs.
• Integrating camera-based rep detection hooks for future CV features.

Computer-vision pipeline to detect holds in climbing wall photos.

• Flask REST endpoints with AJAX UI for live previews and threshold tuning.
• Pipeline stages: preprocess, HSV masking, connected components with clear interfaces.
• Demo available at climb-route-identification.streamlit.app.