Inspiration
The voluntary carbon market faces a credibility crisis—over 90% of rainforest offsets criticized as worthless due to leakage, double-claiming, and unverified sequestration. Inspired by VCS/Gold Standard requirements and Gemini 3's frontier multimodal reasoning, we built Carbon Credit Allocation and Verifier to democratize trustworthy verification. This hackathon tackles greenwashing at scale using satellite pixels → AI reasoning → verified tCO2e.
What it does
Carbon Credit Allocation and Verifier is an agentic web app unifying farmer carbon credits and industrial emissions auditing:
Farmer Flow: Upload GeoJSON land parcels + drone shots → Gemini 3 chains NDVI analysis (0.72 avg = healthy canopy) → biomass models → 450 tCO₂e verified from 100 ha agroforestry, flagged for 4% leakage.
Industry Flow: Upload Scope 1-3 data (fuel logs, waste manifests, GPS logistics) → computes 15,200 tCO₂e footprint → identify hotspots (Scope 3 trucking: 7k tCO₂e).
Integrity Layer: Prevents double-claiming via CreditID registry lookups; matches offsets with 10% buffers; exports VCS-compliant PDF reports with reasoning traces.
Live dashboard: Interactive Leaflet maps highlight discrepancies; emission pies show Scope breakdowns.
How we built it
Tech Stack: Next.js + Leaflet + Gemini 3 API + Google Earth Engine
1. Frontend: Parcel drawing (Leaflet Draw) → GeoJSON → Satellite fetch (Sentinel-2)
2. Gemini Vision Chain: "Raw image → NDVI=(NIR-Red)/(NIR+Red) → Canopy% → AGB=0.0673×(ρ×D²×H)^0.976 → tCO2e=C×3.67×Area"
3. Backend: Node.js orchestrates parallel verification (farms + industry)
4. Mock VCS Registry: Firestore tracks CreditID uniqueness
5. Dashboard: Chart.js pies + Turf.js area calcs
Challenges we ran into
- Multimodal Chunking: Large drone videos → Gemini 3 chunked frame extraction (10s clips) while preserving geotags.
- NDVI Precision: RGB satellite composites → spectral math inference; validated against Earth Engine ground truth (±5% accuracy).
- Scope 3 Complexity: Logistics t-km × load factors × GLEC factors → standardized via ISO 14083 despite messy CSV formats.
- Double-Claim Logic: Race conditions in mock registry → atomic Firestore transactions.
- Polygon Edge Cases: Concave farmland shapes → Turf.js boolean ops for canopy overlap.
Accomplishments that we're proud of
- Live Demo Perfection: 2min video shows steel mill (15k tCO2e) offset by verified farm credits with real-time discrepancy highlighting.
- VCS Methodology Match: Implemented VM0017 afforestation math; reports pass manual verifier checklists.
- Geospatial Innovation: First hackathon project chaining Sentinel-2 → Gemini Vision → allometric biomass → tCO2e at pixel scale.
- Anti-Fraud Engine: 100% double-claim prevention; leakage modeling with buffer pools.
- Nepal Relevance: Optimized for Pātan agroforestry (NDVI 0.68-0.78 tropical baseline).
What we learned
Gemini 3's agentic workflows excel at science-heavy chains (pixels → physics → policy), but require precise function calling for math reproducibility. Satellite data latency (Earth Engine) demands async pipelines. Carbon verification math is deceptively complex—conservativeness thresholds, GWP updates (CH4=28→34?), permanence discounting. Open source allometrics vary wildly by biome; tropical forests need local calibration.
What's next for Carbon Credit Allocation and Verifier
- Live Registry Integration: Verra VCS API + Gold Standard for real issuance.
- Real-Time Monitoring: Daily Sentinel-2 alerts for deforestation/reversal risks.
- Mobile Farmer App: GPS polygon drawing + drone upload from Android.
- Enterprise Scope 3: ERP integrations (SAP invoices → auto-emissions).
- Blockchain Credits: Ethereum/NFT retirement proofs.
- Global Calibration: Biome-specific AGB models (boreal vs tropical).
- Policy Simulator: "What if 10k farmers verify → national NDC impact?"
Launch as free tier for smallholder farmers; $10/1000tCO2e premium audits for industry. Open source the reasoning chains for global carbon MRV standards.
Built With
- gemini3
- google-earth-engine
- leaflet.js
- next.js
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