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WristExposure: UV Index & Cold

Wear OSNative Kotlin + Jetpack Compose Coming Soon Environmental Awareness Sensor-assisted

A Wear OS environmental-awareness app being built to combine local UV and cold conditions with likely-outdoors context and elapsed exposure time, so alerts are more relevant than a simple weather snapshot.

In Development

Coming Soon to Wear OS

WristExposure: UV Index & Cold is currently in active development. The features listed below represent the planned scope. Want to know when it launches?

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WristExposure: UV Index & ColdPromo screenshot coming soon
Screenshot 2

Planned Features

  • Planned local UV Index, cold, wind, and wind-chill context designed for quick wrist checks
  • Sensor-assisted likely-outdoors inference that combines multiple available signals instead of relying on a single sensor reading
  • Accumulated likely outdoor exposure time to add context beyond one-time weather snapshots
  • Restrained alerts when tracked conditions meaningfully change, with an explanation of why the alert appeared
  • Capability-aware behavior that degrades clearly when optional watch sensors are unavailable
  • Planned Wear OS Tile and watch-face complication support after those surfaces are verified in the release build
  • Battery-conscious monitoring that increases sampling only when environmental conditions and user context justify it
  • Environmental awareness only: no diagnosis, medical-device claims, or fabricated personalized time-to-injury countdowns

Frequently Asked Questions

Is WristExposure a medical or emergency app?

No. WristExposure is being designed as an environmental awareness and wellness utility. It is not a medical device, diagnostic system, emergency service, or substitute for professional guidance.

How will WristExposure decide whether I am outdoors?

The planned design combines multiple available watch signals, local environmental data, activity context, and elapsed time. It preserves uncertainty instead of claiming that one light, temperature, location, or motion sample proves you are outdoors.

Will it work on every Wear OS watch?

The core design is capability-adaptive and should not depend on Samsung-only sensors. Optional hardware can improve context on supported watches, while unsupported sensors should produce clear degraded behavior instead of false certainty.

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