An interactive dashboard for analyzing and visualizing wildfire occurrences across Canada (2013–2023). Features dynamic filtering by province and year range, with various data visualizations including maps, charts, and summary statistics.

Python package for calculating Air Quality Index (AQI) based on CONAMA Resolution 491/2018 standards. Supports PM10, PM25, SO2, NO2, CO, O3.

FETCH (Framework for Environmental Type Classification Hub) is a QGIS-based tool for automated Local Climate Zone (LCZ) classification. It combines Google Solar API data acquisition with advanced geospatial processing to analyze urban morphology and climate characteristics.

A comprehensive web application for environmental site analysis providing vegetation, terrain, and climate data visualization. Built with Next.js and Django.

A suite of simplified climate analysis and urban comfort tools built on Ladybug Tools, providing an intuitive interface for complex environmental studies.

A machine learning project that predicts car CO2 emissions based on engine size using linear regression. Features data visualization, model training, and performance evaluation with scikit-learn and matplotlib.

Interactive Tableau dashboard exploring global CO₂ emissions trends, rankings, and growth from 2000–2022 using public OWID climate data.

Projeto dedicado a investigar os incêndios florestais no Brasil durante o ano de 2024. Através da análise de dados climáticos e informações sobre o risco de fogo, o projeto busca compreender como variáveis como dias sem chuva e precipitação influenciam a ocorrência de incêndios.