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climate-tech

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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.

  • Updated May 24, 2025
  • Python

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.

  • Updated Nov 14, 2025
  • TypeScript

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.

  • Updated Apr 3, 2025
  • Python

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. 🌍

  • Updated Feb 6, 2025
  • HTML

Real-time environmental hazard detection for the Philippines using AI (Climate-NLI + Geo-NER). Processes news feeds and citizen reports to visualize typhoons, floods, earthquakes, and more on an interactive map. React + FastAPI + Supabase.

  • Updated Dec 22, 2025
  • TypeScript

Track how much people are saving on energy and the impact on their carbon credits across the UK, United States, and South Africa. Add devices (solar PV, electric vehicle, solar geyser), set capacities and install dates, estimate email CO₂e use, and preview a future carbon-credit trading flow.

  • Updated Aug 20, 2025
  • JavaScript

Public metadata, MRV files, IPFS assets, and on-chain records for CO2NEX-certified carbon and water credit projects. This repository supports full transparency traceability from satellite MRV (GEE) to blockchain verification

  • Updated Jun 16, 2025
  • JavaScript

Google Open-Source Project: Stochastic building simulator and real-world dataset for training and benchmarking reinforcement learning agents in energy-efficient smart control environments. Built with Gym, TensorFlow Agents, and 6+ years of real building data.

  • Updated Jul 27, 2025
  • Python

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