During the hackathon, we developed LeafTrack, a cutting-edge project that tackles environmental monitoring through a tech-heavy approach. Here’s the scoop: we’re using free, high-resolution satellite images to keep an eye on vegetation layers across various ecosystems—think nature reserves and beyond. The twist? We analyze these images with advanced algorithms and machine learning to extract detailed insights about vegetation health and growth patterns.  But we didn't stop there. We know data integrity is key, especially in environmental monitoring, where data drives crucial decisions. So, we integrated a blockchain-based system to ensure the data we gather isn't just detailed but also tamper-proof and transparent. This means anyone from researchers to conservationists can trust and rely on our data without a second thought.  Innovation-wise, the combo of machine learning for image analysis and blockchain for data security really sets LeafTrack apart. It's not just another environmental tool; it’s a prototype that bridges the gap between advanced tech and practical, on-the-ground ecosystem management. That's what we hammered out during the hackathon, and it's what we're continuing to develop and refine.