Pila tecnológica

Python

Descripción

AirAware – Community Air Quality Monitor 🌬️

AirAware is a simple IoT + AI + DePIN + Web3 project that helps communities monitor air quality in real time.
The system collects environmental data, predicts pollution hotspots, and rewards users who contribute data.

For the MVP, AirAware uses simulated sensor data, so it can run fully even without real IoT hardware.

What AirAware Does

Collects PM2.5, CO₂, temperature, and humidity
Shows real-time air quality on a dashboard
Predicts pollution hotspots with a small AI model
Rewards contributors with a Web3 smart contract
Supports full simulation mode for demo/hackathon use

https://air-aware-hub.vercel.app/

How It Works (Simple Explanation)

Sensors—or the built-in simulation—send air quality data to the backend.
The backend stores the data, calculates AQI, and updates the dashboard via WebSocket.
The AI module analyzes the data and gives simple predictions.
Users who send data receive reward points through the smart contract (or mock mode).

Why Simulation Mode

No IoT device needed
Still demonstrates the full flow
Useful for testing, demos, and hackathons
Generates realistic PM2.5, CO₂, temperature, and humidity values

Progreso del hackathon

i designed the AirAware concept, built the backend with simulated sensor data, and created a real-time dashboard map. i integrated simple AI to detect potential pollution hotspots and added a basic reward logic for community contributors. The project was finalized with a clean UI, clear documentation, and a working end-to-end demo.

Estado de recaudación de fondos

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air aware

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