Carbon Emission Detection

What it does

This web application leverages Go as the backend programming language, chosen specifically for its compatibility with the Go GenAI SDK, which facilitates the interaction with machine learning models, particularly in handling and analyzing images. The primary functionality of this app involves uploading satellite images sourced from NASA's Global Imagery Browse Services (GIBS), available at [NASA's EarthData website](https://www.earthdata.nasa.gov/eosdis/science-system-description/eosdis-components/gibs). These satellite images provide high-resolution, near-real-time visual data of Earth's surface, making them valuable for various environmental monitoring purposes.
The choice of Go as the backend language is strategic. Go, known for its efficiency and simplicity, is particularly well-suited for handling concurrent tasks, which is crucial when processing large image files and interacting with models. The Go GenAI SDK further enhances this by providing a seamless interface to send these images to AI models for analysis. This integration allows the application to perform complex image recognition and analysis tasks, which would be resource-intensive and complex to implement from scratch.