environmental-analysis

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.

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

High-precision ML regression model predicting vehicle CO2 emissions from technical specifications. Achieves R²=0.9972 with Random Forest using Transport Canada data.

Python environmental data analysis project examining river toxin levels using Pandas, data cleaning, statistical summaries, visualisations, and trend analysis to identify pollution patterns, concentration changes, and potential environmental risk indicators.

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

It is an intelligent geo-visualization and environmental analysis platform that leverages spatial data, mapping, and interactive dashboards to provide insights into geographic patterns, terrain data, and location-based analytics.

🐦 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.

Integrating remote sensing and machine learning to analyze the impact of climate change on vegetation health in Turkiye. (2016–2020)

SQL data analysis project exploring NYC Squirrel Census data using SQL queries, aggregations, filtering, and behavioural analysis to identify squirrel population patterns, activity trends, environmental influences, and location-based insights.

EO-based cropland vegetation and soil proxy analysis using Sentinel-2 indices and ERA5-Land climate data for Brandenburg, Germany.

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.

Advanced Solar Energy Analysis using Python and Power BI | 4,500 Projects | Financial Savings, Investment Analysis & Environmental Impact

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.

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

Machine Learning-powered web application that predicts flood risk levels using environmental and infrastructure indicators. Built with Python, Scikit-Learn, and Streamlit.

Computer vision framework for multi-temporal Amazon deforestation detection using satellite imagery. Analyzes forest loss patterns, detects acceleration trends, and identifies critical periods. Features 3 detection algorithms, comprehensive testing, and validation with 20 years of real Amazon data.

An analysis engine for quantifying the historical mass balance and retreat of Earth's cryosphere.

Machine Learning and Deep Learning framework for forecasting climate change indicators, carbon emissions, and environmental pollution using Random Forest, XGBoost, Bi-LSTM, and Hybrid Ensemble Models.