pollen.ny (App Store)
Links
Screenshots
|
|
|
|
|
Now Available on the App Store
Overview
pollen.ny is a real-time NYC pollen tracking app that aggregates research data and third-party forecasts into a clean, reliable mobile experience. The focus was building a responsive data pipeline, accurate alerting logic, and stable offline behavior.
What I Owned
- Designed overall SwiftUI architecture and modular feature structure
- Integrated multiple data sources including Fordham research data and Google Pollen API
- Implemented async data fetching and refresh logic using Swift Concurrency
- Built threshold-based alert system with customizable user sensitivity
- Architected local persistence using Core Data to support offline access and historical comparison
- Shipped and maintained production App Store release
Engineering Challenges
- Normalizing data from different sources with varying formats and update cadences
- Managing async network calls while maintaining responsive UI state
- Designing alert thresholds that balance signal vs noise
- Handling background refresh timing without excessive battery impact
- Keeping historical data performant when rendering charts over long date ranges
Built With
- SwiftUI
- Swift Concurrency
- Core Data
- Swift Charts
- MapKit
- UserNotifications
- Google Pollen API
Author
Sabri Umut Sönmez