climate-tech

🌱 Blockchain for planetary regeneration

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

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.

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

🌱 Website and marketplace application

EcoWise is a modern, web-based sustainability assistant that provides real-time guidance on responsible waste disposal. Featuring a premium Glassmorphism UI, it uses a keyword-driven knowledge base to help users identify the best practices for handling plastics, metals, organics, and hazardous e-waste.

This project provides a carbon offset trading platform targeting individual users in Taiwan.

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.

Thermal Sentinel Grid: Physical-AI Digital Twin & Autonomous Agentic Dispatch Engine for Substation Transformers & Urban Grid Resilience | FortyGuard Hackathon '26 (Track 03: Industrial & Enterprise)

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

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

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.

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.

An advanced multi-modal dMRV framework for real-time forest carbon sequestration tracking. Uses Sentinel-1/2 data fusion, a PIO-optimized BiLSTM deep learning model, and multi-pool carbon partitioning to generate high-integrity, verifiable carbon credit audit profiles that combat greenwashing.

A curated list of high-quality resources, startups, tools, and frameworks driving innovation in climate technology.

Optimizing Urban Heat Mitigation and cooling strategies via Artificial Intelligence and Machine Learning (AIML)

Programmable environmental performance assurance on Arc. Retain USDC until project obligations are independently verified.

Institutional-grade carbon credit platform with Proof-of-Physics verification on the Aethelred network.

AI-powered carbon footprint tracker — log eco-friendly habits (walking, cycling, public transport, no AC) and get real-time CO₂ savings with personalised sustainability insights.