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🌟 Inspiration

Air pollution is an invisible threat impacting billions every day 🌫️. We wanted to build something that empowers people β€” especially those with health conditions β€” to make smarter, safer choices. That’s how AirAble was born: to turn complex air data into clear, personalized health insights. 🌍🫁


πŸ’‘ What it does

AirAble is an AI-powered environmental health assistant πŸ€–πŸ’¨. It provides:

  • Real-time AQI data πŸ“‘
  • Personalized health tips based on user profile 🧠
  • Cleanest route suggestions πŸ—ΊοΈ
  • Alerts for high pollution or allergy risks 🚨 All wrapped in a clean, intuitive interface πŸŽ¨πŸ“±.

πŸ› οΈ How we built it

We used:

  • OpenWeatherMap API for real-time AQI and weather data
  • TomTom API for clean route suggestions
  • Python (backend) for logic and health analysis
  • Streamlit / React Native for the front end
  • Firebase for user data and authentication

🧱 Challenges we ran into

  • Handling inconsistent AQI data from various regions 🌍
  • Integrating real-time maps with pollution overlays
  • Balancing personalization with simplicity in the UI

πŸ† Accomplishments we're proud of

  • Built a working prototype with live air and health tracking
  • Integrated multi-API data for a real-time experience
  • Designed a user-friendly interface with accessibility in mind

πŸ“š What we learned

  • How to work with geospatial and environmental APIs
  • Importance of UX in health-focused apps
  • Handling real-time data and edge cases with dynamic responses

πŸš€ What’s next for AirAble

  • Add allergy-specific alerts and weather-triggered notifications
  • Implement machine learning for behavior prediction
  • Launch on mobile stores and gather real-world feedback
  • Partner with health orgs to expand impact 🌱

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