On bushfire prone land on communities and developments

Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.

In this repo, we describe better the challenge #10 about Life on Land (SDG15) and UN Biodiversity Lab (UNBL) for the hackathon Cloud Native Hacks held on Paris in 2024.

UrbanGreenInsights: Analyzing green space dynamics in Indian cities using satellite data for sustainable urban development.

Home of CarbonSasa. Main goal is carbon sequestration on SDG 13: Climate Action, which focuses on taking immediate action to combat climate change and its impacts. Carbon sequestration contributes to SDG 13 by storing carbon, reducing emissions, and creating carbon sinks through various methods, including both technological and natural approaches.

A student project advocating for a sachet-free Philippines through education and awareness, featuring webpages using HTML, CSS, and JavaScript.

Visualises the change in the bushfire season across Australian councils.

Análise comparativa de clustering (K-Means, GMM e DBSCAN) em focos de queimadas do INPE para o ODS 15, com avaliação por Silhueta e teste de Kruskal-Wallis. --------------- Eng: Spatial clustering of Brazilian wildfire hotspots (K-Means, GMM, DBSCAN) using INPE data, aligned with UN SDG 15.