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AirAware

View Here: https://beairaware.vercel.app Contributor - Shreeya and Satvik A machine learning powered Air Quality Index (AQI) prediction web app for Delhi NCR.

This project uses a trained ML model exported to ONNX format and runs directly in the browser using onnxruntime-web.


🚀 Features

  • Predict AQI using:
    • PM2.5
    • PM10
    • Wind Speed
    • Temperature
    • Humidity
    • Hour
    • Month
  • Runs fully in the browser (no backend needed)
  • ONNX model inference using WebAssembly
  • Modern UI built with React + Vite
  • Real-time prediction

🧠 Tech Stack

  • React (Vite)
  • TypeScript
  • ONNX Runtime Web
  • Tailwind CSS

About

Built a browser-based ML web app to predict AQI for Delhi NCR using environmental and time-based features; deployed a trained ONNX model with in-browser inference via ONNX Runtime Web for real-time, backend-free experience

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  • TypeScript 79.1%
  • Jupyter Notebook 19.0%
  • Other 1.9%