Offline-capable bilingual kiosk UI for an international firm with admin and export tools.

Cut manual front-desk workload by ~60% through automated intake and PDF exports.

Computer-vision service to detect holds and routes in climbing wall photos.

Gives setters fast previews and tuning controls through a lightweight web UI.

Full-stack movie discovery app with auth, pagination, and MySQL-backed search/filter.

Shipped as a team capstone using Git workflows and basic route tests.

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.