GreenSpace AI

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  user interface for the greenspaceai.

Inspiration

The increasing heat waves and urban heat islands inspired me to create GreenSpaceAI. I wanted to help communities plant trees where they’re needed most to combat climate change.

What I Learned

I learned to integrate the OpenWeatherMap API for real-time climate data, use Flask to build a web app, and deploy it on Render. I also explored heat wave analysis and plan to integrate Google Earth Engine (GEE) for NDVI data.

How I Built It

I used Python with Flask for the backend, fetching weather data via OpenWeatherMap API. The frontend, styled with Tailwind CSS, accepts city inputs and displays recommendations. Render hosts the live app at https://greenspaceai.onrender.com.

Challenges

Challenges included aligning the frontend form with the backend, fixing deployment port issues on Render, and handling API rate limits. The delayed GEE access forced me to use mock NDVI data, but I’m ready to enhance it post-hackathon.

Built With

• api
• flask
• openweathermap
• python
• render
• tailwind-css