AirEye banner

AirEye

Created by: Patato
2 devlogs
10h 23m 59s

AirEye is an iOS application that estimates Air Quality Index (AQI) using computer vision and machine learning. By analyzing images from your camera or photo gallery, the app provides real-time air quality assessments powered by a custom CoreML mo…

AirEye is an iOS application that estimates Air Quality Index (AQI) using computer vision and machine learning. By analyzing images from your camera or photo gallery, the app provides real-time air quality assessments powered by a custom CoreML model.

This project uses AI

I used AI tools like Perplexity for research on CNN air quality models, code suggestions for Vision integration, and improving my English since it’s not my first language. Create ML helped prototype a lightweight image classifier trained on open AQI datasets.

Demo Repository

README

Loading README...
Patato
Patato shipped AirEye
18 days ago

Shipped this project!

Hours: 10.37
Cookies: 🍪 100
Multiplier: 9.61 cookies/hr

I built an app that estimates air quality using only images. The hardest part was gathering the dataset to train the CNN vision model, but I eventually got around it by using public street cameras and historic AQI data.

I also added an onboarding page to explain how this whole thing works and how it was trained. Happy with how it turns out.

Patato
Patato worked on AirEye
18 days ago
2h 35m logged

It’s been a while since I last made a devlog. A lot of things have changed.

First, there’s now a onboarding section for the app. Users can learn how the model was made, how it was trained, and basically teaches you how machine learning works for vision models.

I also added a demo image page for the users to see how the model perform in harsh conditions.

Lastly, there’s also a guide page to teach you how to take the most optimal image for the model.

This will probably be my last devlog before I ship. Thank you everyone for following!

Attachment
Attachment
Attachment
0
Patato
Patato worked on AirEye
3 months ago
7h 48m logged

I decided to ditch the separate tabs and merge everything into one view. Now there’s a gallery button right on the camera screen, so you can pick photos or snap new ones without switching back and forth. It feels a lot more natural and cut out a bunch of unnecessary code.

I also added detailed guides for each air quality level, so you’ll know exactly what those numbers actually mean for your health.

Attachment
0