This is a submission for Weekend Challenge: Passion Edition
The project is an east-to-use application which helps user to identify deforestation in areas of interest. From the users selected area of interest, application downloads
the satellite images, generates ndvi(Normalized Difference Vegetation Index), and identifies potentially deforested locations based on calculated vegetation indices.
My goal was to evaluate the capabilities of AI agents in developing a complete application, production-ready with instructions provided by human. The project also explores the
time required to build such an application with AI-assisted software.
[https://huggingface.co/spaces/sgharti/crop-health](https://huggingface.co/spaces/sgharti/crop-health)
[https://huggingface.co/spaces/sgharti/crop-health/tree/main](https://huggingface.co/spaces/sgharti/crop-health/tree/main)
I developed a plan for core software architecture and directed the entire application workflow including the following:
I decided to use Google AI (Antigravity with gemini) to build this application.
I am applying for the Google AI (Gemini, Antigravity) and Snowflake tracks.
Team Submissions:
Shashi Gharti @shashigharti