🌱 Blockchain for planetary regeneration

Help us build the most accessible and accurate climate tech resource on the planet 📓 🌍

Predicting Carbon Intensity from Grid Frequency Data Using FFT Analysis and Gradient Boosted Regression

AI-powered flood intelligence system featuring h2oGPTe Agent + NVIDIA NIM integration (A2A), NAT pipeline with Nemotron 49B, and real-time flood risk assessment. Part of NVIDIA–H2O.ai AI for Good Blueprint for disaster response and monitoring.

🌱 Website and marketplace application

An advanced machine learning system that leverages ensemble methods and deep learning for comprehensive climate risk assessment and prediction. The tool combines multiple ML models with real-time weather data analysis to provide actionable insights for climate-related threats.

Measure carbon capture transparently using satellites and smart contracts

Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.

Full-stack ESG analytics dashboard for S&P 500 companies with FastAPI, React, and PostgreSQL. Features interactive visualizations, sector insights, and machine learning risk prediction.

🌿 AI-powered environmental news aggregation & analysis platform with smart query expansion, sentiment balancing, and real-time insights.

CATIA is a catastrophe AI system that integrates advanced artificial intelligence, actuarial science, risk analysis, and machine learning to provide robust assessments of natural hazards such as hurricanes, floods, and wildfires, with a focus on financial impacts and mitigation strategies

Mermaid.js system diagram for the CO2NEX carbon credit climate platform infrastructure

Protect what matters most - your family's only home, Earth. This decentralized nervous system lets idle devices work like forest networks, helping Earth sense, verify, and heal environmental challenges naturally. Join us in awakening Earth's intelligence. 🌍

Data-driven Enhanced Rock Weathering assessment (20 params) with interactive map + REST API.

personal career blog in product and tech

PHREEQC geochemical modeling of Enhanced Rock Weathering in Darjeeling tea plantations for carbon removal quantification and agricultural soil enhancement

An AI-powered geospatial intelligence dashboard for predicting atmospheric ozone levels using 27 years of NASA data. Features 3D climate mapping and live satellite tracking.

AI-powered platform for real-time ecosystem restoration using bioacoustics, drones, Web3, and AR.

Developer documentation for CO2NEX APIs, SDKs, and integration guides.

ML-based estimation of datacenter power demand and grid impact analysis for US electrical infrastructure.