π§ Inspiration
At Nexora Hacks 2026, we were inspired to build GreenCred β a platform designed to make sustainability-linked lending trustworthy, efficient, and scalable.
π¨ The Global Problem
Despite the global push toward ESG finance, the lack of standardized, verifiable ESG data is stalling sustainable capital deployment:
- π $1.74 trillion in sustainable debt issued in 2024 alone (Environmental Finance).
- πΈ But over $200B in sustainability-linked loans (SLLs) were delayed or declined in 2023 due to poor ESG data credibility (S&P Global).
- π¦ ESG teams spend ~$533k/year per firm managing disclosures manually (PwC), often producing inconsistent reports for every lender, with no audit trail.
- π€ Lenders are pressured by regulators (e.g., EU CSRD, SEC) to validate ESG data β but todayβs process involves manual verification, unstandardized KPIs, and spreadsheet chaos.
π‘ Our Idea
We imagined a world where:
- π± Borrowers submit ESG metrics once, using a smart, guided portal
- π Verifiers review KPIs, sign off digitally, and lock the results on blockchain
- π Lenders receive one verified ESG Passport they can trust β aligned with LMAβs SLL Principles and ESG IDP
We wanted to go beyond forms and dashboards β and instead deliver:
- β Machine Learning anomaly detection for bad data
- β Blockchain-based attestation to ensure auditability
- β API-ready design to scale with banks and platforms
π₯ Why This Matters
GreenCred brings verifiability, comparability, and reusability to ESG data, solving what LMA, the ESG IDP, and regulators have all called a critical bottleneck in sustainable lending.
It's not just a sustainability tool, itβs fintech infrastructure for a decarbonized financial system. Nexora Hacks gave us the challenge and the runway to turn this idea into a product that could scale globally.
We built GreenCred to reflect everything Nexora Hacks 2026 stands for:
- π― Real-world applicability
- π§ Technical depth (AI + blockchain + finance)
- π Scalability across borrowers, banks, and regulators
- β Clarity of UX and strong end-user value
What it does
GreenCred is an end-to-end solution for managing sustainability-linked loan KPIs and ESG performance across all stakeholders:
π§βπΌ Borrower Dashboard
- Submit ESG KPI values (e.g. emissions, energy use, DEI metrics)
- Upload supporting documents (e.g. audits, certifications)
- Run ML-based validation to flag anomalies or outliers
- Generate a reusable, shareable ESG Passport
π§Ύ Verifier Dashboard
- Access submitted KPIs for review
- View confidence scores and flagged anomalies
- Optionally run OCR checks on uploaded docs
(PDF text extraction by default; full OCR via self-hosted Tesseract pipeline available) - Sign off verified KPIs with timestamp and metadata
π¦ Lender Portal
- View each borrowerβs ESG Passport
- Simulate loan pricing impact based on ESG target performance
- Access audit trails via blockchain attestation records
π ESG Passport
- Shareable ESG disclosure aligned with LMA/IDP-style data model
- Includes verified KPI values, targets, confidence scores, and verifier identity
- Available as PDF, live dashboard link, or QR export
π Blockchain Audit Trail
- Each KPI verification is hashed and recorded as an attestation using Polygon Amoy
- Blockchain hash + IPFS CID provide tamper-proof auditability
How we built it
π₯οΈ Frontend
- Vite + React + TypeScript SPA
- Fully responsive, role-based dashboards for:
- Borrowers
- Verifiers
- Lenders
π§© Backend
- Supabase stack:
- Auth (user roles and secure access)
- Postgres (structured ESG KPI storage + Row-Level Security)
- Storage (uploads: audit reports, certificates, etc.)
- Edge Functions (business logic and validation workflows)
π§Ύ OCR Integration
- Baseline (free): PDF embedded-text extraction (works on non-scanned PDFs)
- Optional: Self-hosted OCR via
OCR_SERVICE_URLfor scanned documents- Enables full document parsing and value extraction from uploads
π§ ML Validation
- Edge function scoring pipeline:
- Benchmark analysis
- Anomaly detection
- Confidence scoring
- Runs for both KPI previews and submitted values
- Designed to mimic AI validation without high compute dependency
π Blockchain Attestation
- Pinata for IPFS file pinning
- Polygon Amoy testnet for transaction-based data attestation
π PDF Export & Sharing
- ESG Passport export system includes:
- Standardized PDF layout of verified KPIs
- Shareable public URL
- Downloadable QR code linked to live Passport
Challenges we ran into
- Schema standardization based on ESG IDP while supporting custom KPIs.
- Designing intuitive blockchain UX with hash explorer integration.
- Designing verification UX that is transparent without overwhelming users.
- OCR reliability tradeoffs: free PDF text extraction works well for text PDFs, but scanned documents require a self-hosted OCR service.
- Role-specific workflows without feature entanglement.
Accomplishments that we're proud of
- Fully functional prototype across borrower, verifier, and lender workflows.
- Working anomaly/confidence scoring and PDF-first OCR checks to speed up verification.
- Blockchain record logging with explorer links
- Clean and aligned ESG Passport output with export features.
What we learned
- ESG lending credibility issues stem from fragmented, unverifiable reporting.
- Role clarity (borrower/verifier/lender) and auditability are crucial for trust.
- Automation with ML/OCR/blockchain can meaningfully improve ESG data quality and usability.
- Regulatory alignment with LMA, IDP, CSRD, and SFDR is key for adoption.
What's next for GreenCred
- Integration with carbon accounting tools like Normative/Watershed.
- CSRD + SFDR-compliant export modules for regulatory disclosures.
- Industry benchmarking analytics engine based on anonymized KPI data.
π Login Instructions for GreenCred Demo
Use the following test accounts to explore each user role. Password for all accounts is Hello@1234.
Borrower: hargunkaur286@gmail.com
Verifier: hargunkaur2863@gmail.com
Lender: hargunkaur1328@gmail.com
π Password (all roles): Hello@1234
π§ Suggested Flow:
- Log in as Borrower β Submit ESG KPIs.
- Log in as Verifier β Approve KPI with confidence score.
- Log in as Lender β View ESG Passport and simulate loan pricing.
Built With
- pinata
- polygon
- react
- supabase
- tailwind
- typescript

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