AQAI

• 

  TkInter Model UI Design

Inspiration

Living in Delhi, where an AQI under 150 is often considered "decent," I noticed a lack of awareness about the real health impacts of air pollution. I wanted to build something personal—something that not only reports AQI but also educates and empowers people to make healthier choices. That’s how AQAI was born.

What it does

AQAI is much more than just an air quality monitor. It’s a smart, AI-powered assistant that combines:

• Real-time AQI data using the publicly available OpenAQ dataset.
• Smart Chat with Gemini that gives personalized, location-based health guidance using the local AQI.
• "Skyshots" – Users can upload images of their sky view. Using vector search from MongoDB Atlas, AQAI matches them to historical data and gives context-aware feedback.
• AI-enhanced analysis using Google Cloud’s AI suite, making predictions and offering insights grounded in both user input and verified data. AQAI doesn’t just tell you the AQI. It shows you the bigger picture—and helps you breathe easier.

How we built it

A single Python script MVP using Tkinter to demonstrate proof of concept. Google Cloud for:

• Hosting the app using Cloud Run
• Leveraging public datasets (OpenAQ)
• AI integrations via Gemini APIs MongoDB For:
• Image Storing (ATLAS DB)
• Fetching Images based on location using MongoDB Vector Search as historical data to provide better results based on the history of the location (SUDDEN POLLUTION INCREASES HEALTH RISKS)

Challenges we ran into

Tkinter was a great choice for fast prototyping, but it’s not web-deployable. A key challenge was providing a usable web-accessible version for the hackathon submission. As a result, we went with a less functional Demonstrative deployed link - but our GitHub still contains code to the TkInter Application which has all core functionalities.

Accomplishments that we're proud of

Being able to submit my MVP and creating something that solves MY PROBLEM and promotes healthy living.

What we learned

Vital lessons about human health and the impact of AQI on the body.

What's next for AQAI

IMPROVED UI DESIGN, deploy web application.

Built With

• gemini
• mongodb
• python