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.

AI-powered urban plantation planning system using U-Net segmentation and sustainability metrics from satellite imagery.

🐦 Bird Biodiversity Intelligence Dashboard | A professional ecological analytics platform built with Python, Streamlit, Plotly, and SQL to analyze bird species diversity, habitat distribution, environmental impact, and spatial biodiversity patterns across forest and grassland ecosystems.

Previous works on smart surveillance systems often only focused on one task such as violence detection, and were heavyweight systems at the same time. This project aims to create a smart surveillacne system that does more than an average human (or a team of humans) could ever do.

Machine learning web app that predicts water safety using Random Forest based on 9 key quality parameters with interactive analytics.

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.

Python data science and automation tools for environmental analysis, biodiversity tracking, and sustainable agriculture. Combining scientific computing with practical automation for ecological research and environmental impact assessment.

Ce projet personnel est un dashboard interactif réalisé avec Power BI Desktop, basé sur un dataset de produits nettoyants industriels. Il permet d'analyser les coûts d'achat, l'impact environnemental et le suivi des fournisseurs sur la période 2021–2024.

Quantitative analysis of data center water consumption and drought risk in Texas using clustering and econometric modeling.