Blockchain-Driven Carbon Management ensures transparency, XRC-20 carbon trading, AI-powered predictions, rewards, and compliance—driving sustainable emissions control.

The repository contains a proposal to identify optimal tree canopy locations for the municipality of Madrid.

A smart IoT-based waste management system for efficient and automated waste collection and real-time monitoring of detritus levels.

Inclusive and Comprehensive Livestock Environmental Assessment for Improved Nutrition, a Secured Environment, and Sustainable Development along Livestock Value Chains

🌱 FertiOptimizer is a smart agriculture management app built with Flutter, designed to help farmers make data-driven decisions for better crop yields. It integrates real-time sensor data, AI-powered fertilizer recommendations, and remote irrigation control into one intuitive platform.

icleaned is a Shiny App that calculates environmental footprint of livestock systems

Spatial Ecosystem Limited

Reproducible hydrology analytics pipeline for rainfall aggregation, QA/QC, IDF curves, runoff modeling, and decision-ready reporting.

IoT-based smart waste management system that monitors bin fill levels and weight in real time, sends data to the cloud, and notifies collection teams to optimize waste collection efficiency.

The mission is to empower individuals to reduce their carbon footprint, fostering a culture of environmental responsibility.

EcoSamvaad is a platform promoting environmental sustainability in India. It empowers communities with tools for tree planting, waste management, and renewable energy initiatives. Through educational resources, it fosters a culture of environmental stewardship and aims to create a more sustainable future for all.

AI-powered waste management platform that revolutionizes waste sorting, recycling, and disposal. Transform waste to wonder with intelligent, eco-friendly solutions.

In this ongoing study, we investigated if wealth influences environmental concern and action (environmental stewardship). Analyzing data from BEV owners in California, we explore household income and correlate it with concern for reducing emissions. Globally, we observed a trend where increasing GDP is followed by a decrease in CO2 emissions.

🌿 Plant Disease Detector, this project focuses on the application of deep learning in identifying plant diseases through image classification. By leveraging a pretrained ResNet-18 model and integrating a comprehensive data preprocessing pipeline, this project aims to provide an efficient tool for diagnosing plant diseases.

A comprehensive predictive model to assist Saudi Aramco in reducing methane emissions as part of its sustainability efforts. The project integrates statistical analysis with advanced modeling techniques to forecast emission levels and suggest actionable steps for reduction.

Waste-Intel is an AI-powered waste management web app built with Flask + CatBoost. It predicts recycling rates, compares disposal methods, and provides city-level insights with interactive charts. Deployed on AWS Elastic Beanstalk for fast and reliable access.