Hushh
AI baby cry analyzer that runs entirely on your device
8 followers
AI baby cry analyzer that runs entirely on your device
8 followers
Hushh is a privacy-first AI baby cry analyzer that runs entirely on your device. Using on-device AI, it analyzes baby cries directly in your browser - no cloud uploads, no server-side processing. Install it as a PWA and explore how modern browser AI can help parents while keeping sensitive audio private.
Hushh – An AI-powered baby cry analyzer that runs entirely on your device 👶🔒
Hi everyone! 👋
A few days ago, while waiting to pick up my daughter from summer school, I noticed a mother trying everything she could to calm her crying baby. It reminded me of when my daughter was an infant.
Every parent knows this game:
* Is the baby hungry?
* Tired?
* Needs a diaper change?
* Feeling uncomfortable?
* Or... something else entirely?
Unless babies could talk, we're all just making educated guesses.
That moment made me wonder:
With today's on-device AI models, could we build an app that listens to a baby's cry and suggests the most likely reason?
The privacy requirement immediately became my top priority.
I didn't want parents uploading recordings of their babies to a cloud server. Sensitive data like a baby's voice should stay on the family's own device whenever possible.
So I built Hushh.
## What is Hushh?
Hushh is an experimental Progressive Web App (PWA) that analyzes baby crying sounds using AI entirely on-device.
That means:
✅ No audio leaves your device
✅ No server-side inference
✅ Works directly in your browser
✅ Privacy-first by design
## Why a PWA?
I wanted something parents could open instantly without installing a native app.
Modern browsers are becoming surprisingly powerful, and on-device AI is opening exciting possibilities for privacy-preserving applications.
Hushh is also an experiment to see how far we can push AI inside a browser.
## Tech highlights
* Progressive Web App (PWA)
* On-device AI inference
* Privacy-first architecture
* No cloud processing for baby audio
* Runs locally in the browser
## This is still an experiment
I don't claim that Hushh can replace parental judgment or medical advice.
The goal is to explore whether on-device AI can become a helpful assistant for parents - not a decision maker.
I'd love feedback on:
* Accuracy
* UX
* Performance
* Device compatibility
* Ideas for future features
## Try it
🌐 Live Demo:
https://tryhushh.vercel.app/
💻 GitHub:
https://github.com/nhatnx/hushh
If you're a parent, an AI enthusiast, or someone interested in privacy-preserving machine learning, I'd really appreciate your thoughts.
Thanks for checking it out! ❤️
A pwa that runs offline is already a huge win for tired parents at 3am. One thing that would make it even better is adding a simple timeline view that logs cry patterns throughout the night, so you can spot trends over the week and share that data with your pediatrician without exporting anything manually.
@lamont_shi Thanks! That's an excellent suggestion. I really like the idea of turning Hushh into more than a "single cry analyzer" and helping parents understand patterns over time.
A local, privacy-first timeline that automatically groups cry events and highlights trends (time of day, frequency, possible causes, etc.) would be incredibly valuable—especially during those 3 a.m. moments when everything blurs together. 🙂
I also love your point about sharing insights with a pediatrician. My goal would be to make that as simple as possible while keeping the raw audio on the device by default. A shareable summary or report could be a great addition.
Thanks for the idea—I'm adding it to my roadmap!
Ran it on my phone as a PWA and was genuinely surprised the analysis happens without anything uploading. Feels like the right call for something dealing with baby audio, and the whole experience was snappier than I expected.
@lambdalegend Thanks so much! I'm really happy to hear that. Keeping baby audio on-device was a core design decision from day one, so it's great to know that comes across in the experience. It's also encouraging to hear the performance exceeded your expectations. Really appreciate you giving Hushh a try! 🙏