I built AllEars, an Android app that listens for real-world sounds — like snoring, coughing, barking, alarms, glass breaking, and more — and lets you automate actions on your phone using simple IF–THEN flows.

It runs fully on-device, with no cloud, no mic streaming, and no internet requirement. Your phone detects sound events locally using TensorFlow Lite (YAMNet) and executes your defined actions.

Examples:

IF snoring AND coughing THEN vibrate + log timestamp

IF glass break THEN trigger webhook

IF dog bark OR doorbell THEN send notification

Each flow uses flat AND/OR logic, supports multiple actions, and can include time filters. The app runs as a low-power background service with a persistent notification for transparency.

Available actions:

- Play a sound

- Vibrate

- Send a notification

- Log a timestamp

- Trigger a webhook

Why I built it: I wanted user-programmable automation driven by ambient sound — without sending any audio to the cloud.

Think of it as IFTTT for offline sound events.

Try it on Play Store: https://play.google.com/store/apps/details?id=com.cliqueraft... — no signup needed. Free plan includes 3 flows.

Looking for feedback on:

1. What sounds would you want to detect and respond to?

2. What other actions/triggers would make this genuinely useful (keeping things offline and safe)?

3. Any UI feedback on the flow builder logic?

Thanks! Happy to dive into anything technical