Deforestation Identification Tool Developed using AI Agent

A developer built a deforestation identification tool using AI agents, creating an application that downloads satellite images, generates NDVI, and identifies potentially deforested locations. The project aimed to evaluate AI agents' capabilities in developing a production-ready application with human instructions. The tool is hosted on Hugging Face Spaces.

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 https://dev.to/shashigharti