AirProof

AirProof is a mobile + web app (traditional app with light AI) that turns messy indoor air quality data into clear, actionable steps. It connects to common sensors (Airthings, PurpleAir, Awair, Home Assistant feeds) and lets users log symptoms (headaches, allergies, sleep quality) and events (cooking, candles, cleaning products, humidifier use). The app correlates spikes in PM2.5, VOCs, CO2, humidity, and temperature with activities and symptoms, then generates a prioritized “Fix List” with cost/impact estimates: ventilation routines, filtration sizing, humidity control, and product swaps. It also provides simple room-by-room targets and alerts that are actually useful (e.g., “CO2 > 1,200 ppm for 45 minutes—open window or boost HVAC fan”). Brutal reality: without sensors it’s mostly guesswork, so the app is built to work best when users already own (or are willing to buy) at least one device.

← Back to idea list