⚡ Inspiration & Problem Statement
Climate change is humanity's most urgent systemic crisis. The UN COP 31 and the Paris Agreement (Article 6) envision transparent carbon markets and rapid renewable energy adoption. However, current environmental market infrastructure is plagued by severe trust and cybersecurity bottlenecks:
- The Double-Counting Plague: Carbon credits are frequently sold across multiple registries or claimed by both host countries and private corporations due to centralized, fragmented databases.
- Fabricated Telemetry & Greenwashing (Cyber-Physical Risk): In alignment with IEEE Learning Session 2 ("AI and Cyber Security Issues for Climate Change"), connected IoT sensors and satellite reporting can be spoofed or manipulated (e.g. nocturnal solar generation or thermal discrepancies).
- Centralized Energy Inefficiency: Renewable prosumers (rooftop solar, localized wind, battery storage) are forced to sell energy back to centralized fossil-dominated utilities at rock-bottom feed-in tariffs while neighbors pay exorbitant retail electricity rates.
💡 What It Does
ClimateChain AI is an end-to-end decentralized climate infrastructure platform uniting Machine Learning Oracles with Cryptographic Blockchain State Machines:
- AI Satellite MRV & Cyber-Threat Oracle (Track 1): Ingests multi-modal sensory telemetry (atmospheric CO2 ppm, satellite thermal infrared °C, clean kWh output). Uses an Isolation Forest unsupervised anomaly detection model combined with physical conservation invariants to compute tamper-proof cryptographic attestation hashes (
0xORACLE_...) before any credit can be minted. - Zero Double-Counting On-Chain Registry (Track 1 & Smart Contracts): Implements ERC-1155 multi-vintage carbon assets where each token carries its complete immutable lineage. When retired, the token is permanently locked into an irreversible zero-address burn sink (
0x000...000). - Decentralized P2P Renewable Microgrid & Dynamic AMM (Track 2): Connects clean power prosumers with consumers using an AI Dynamic Equilibrium Tariff Algorithm that clears prices between $0.08/kWh and $0.14/kWh—delivering 25% to 40% consumer cost savings compared to conventional utility rates ($0.18/kWh).
- Autonomous Climate Copilot: Grounded with Google Gemini 2.5 Flash for instant ISO 14064-2 compliance guidance and carbon accounting audits.
🏗️ How We Built It
- Consensus & Smart Contracts: SHA-256 chained blocks, Proof-of-Attestation & Stake, Merkle Tree (O(log N)) proofs, and Solidity ERC-1155 smart contracts (
CarbonCreditLedger.solandP2PEnergyMarket.sol). - Backend & AI Oracle: FastAPI, Python, Scikit-learn (Isolation Forest), Cryptography, and Google Gemini 2.5 Flash.
- Frontend: React 19, Vite, TailwindCSS v4, Lucide Icons, and 3D particle canvas.
- Deployment: Live on Vercel at https://climatechain-ai.vercel.app.
🧪 Testing & Verification
The platform includes a rigorous 16-test Python unit and adversarial test suite (pytest) with 100% Pass Rate across cryptographic block hashing, Merkle proofs, double-counting attack prevention, duplicate minting defense, nocturnal solar spoofing interception, and FastAPI REST endpoints.
👥 Team
- Author / Developer: Baji Baddela
- Submission: IEEE ClimateChain Global Hackathon 2026 (Track 1: Carbon Markets & Emissions Transparency • Track 2: Renewable Energy & Energy Trading)
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