Beta testing
Clipify
A camera app experiment that began with ChestCam. I’m exploring whether an iPhone can notice possible moments, group them into a day, and help someone review what to keep without acting like software knows what mattered.
Demo
A privacy-safe phone walkthrough is being prepared.
Demo coming soon
The demo will show the capture and reflection flow without using anyone’s private moments.
- What I noticed
- People sometimes know a moment matters before they can explain why. Maybe someone’s expression changes, the room feels different, or an ordinary moment suddenly feels worth remembering.
- What I tried
- ChestCam focused on recognizing possible moments automatically. After feedback from my mom, I started thinking more about what someone would do with those moments afterward. I rewrote the idea as Clipify in a new repository.
- What I worked on
- I worked on camera and audio lifecycle, local signal detection, moment scoring, capture history, key moments, episode grouping, diary state, and clearer ownership between the app’s subsystems.
- What I used
- Swift, SwiftUI, AVFoundation, local signal detection, moment scoring, on-device processing, and privacy-first design.
- What I learned
- A camera should not act like it understands a person completely. The more personal the moment is, the more careful the app needs to be. User control matters as much as the algorithm.
- Where it is now
- Clipify is an experimental iPhone prototype built from the earlier ChestCam idea.