A full-stack real-time ECG monitoring system that streams cardiac telemetry data through Kafka, processes it with anomaly detection, and renders live charts on a React dashboard.
- Backend built with ASP.NET Core (.NET 10) — REST API + SignalR WebSocket push
- Frontend built with React + TypeScript + Vite — live ECG chart, alert panel, patient card
- MIT-BIH Arrhythmia dataset replay simulator (Python) feeding Kafka at 360 Hz
- Anomaly detection rules: heart rate threshold, RR interval, and annotation-based alerts
- Deployed: frontend on Vercel, backend on Render (Docker)
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A SwiftUI demo that layers timestamp-bound reactions on a mock podcast player: All / Latest / Moments tabs, a moment thread with Timeline / Popular sorting, and local mock data only.
- Built with SwiftUI + MVVM, iOS 17+
- Listening-first flow: player → comments hub → moment → add reaction sheet
- MockReactionService + MockData for reproducible demos
App Highlights
An interactive web application visualizing space data from NASA's Open APIs.
- Built with React + Node.js, styled with Tailwind + shadcn/ui
- Features APOD, Mars Rover Photos, Near Earth Objects, and NASA Media Search
- Includes interactive charts, mobile responsiveness, and real-time API integration
- Demonstrates smart search, data analysis, and predictive loading with modern UI/UX
App Highlights
| Dashboard | APOD | NEO Data |
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A real-time urban parking app leveraging iTwin, Supabase, and iOS.
- Displays available parking spaces using 3D viewer and live updates
- Integrated ECSQL + iModel + Supabase for cross-platform data sync
- iOS app supports search, map, and real-time status updates
- Cooperate with @nanacode4 and @Levoyage
- 3rd Place – Bentley iTwin4Good Championship 2024 (42 teams)
A full-featured meal planner app with recipes, inventory, and shopping lists.
- Built with Spring Boot + React Native, deployed on AWS Lambda
- JWT authentication, Redis caching, MySQL RDS, and a recommendation engine
- Supports meal planning, weekly themes, and recipe recommendations
A Django + React app to simulate and balance metabolic reactions.
- Features formula validation, RDKit integration, and interactive visualization
- Real-time molecular preview, deployed on Netlify + Railway
- Built for researchers and students in systems biology
A Chinese text classification project using LSTM and topic modeling.
- Used Zhihu embeddings + BiLSTM (Keras + TensorFlow)
- Explored semantic themes with Gensim LDA and pyLDAvis
- Achieved 87% accuracy on a 4,000-sample dataset
- GitHub: @xiaoha-cloud
- LinkedIn: Jiahong Lin
- Email: infojemi@gmail.com