A full-stack decentralized application (dApp) for automated land registry and mutation. Integrates Hyperledger Fabric, Next.js, FastAPI, PostgreSQL, and private IPFS for secure, role-based state governance.
ChainLand is a full-stack, research-grade decentralized application (dApp) designed to demonstrate automated land registry, mutation, and state governance workflows. Built around Hyperledger Fabric, the platform enforces strict role-based access control, multi-agency endorsements, and transparent audit trails across complex multi-step processes like ownership transfers, dispute resolution, land-tax tracking, and mortgage governance.
Citizen account application with State Authority approval before sign-in.
New-land registration with evidence, consent, Registrar review, Revenue approval, and Fabric commit.
Seller-initiated ownership transfer with repeated owner verification and independent approval.
Governed mutation and correction review across Revenue, Circle, District, and State roles.
Revenue-authorized land-tax assessments and payment records.
Purpose-limited ownership verification, mortgage creation, and mortgage release.
Dispute filing, review, appeal, resolution, and ledger-enforced parcel holds.
Private document storage in local IPFS with CID and SHA-256 integrity references.
Invite-controlled organization onboarding with maker-checker review and lifecycle controls.
Role-based access, jurisdiction checks, audit events, security alerts, idempotency, and projection reconciliation.
The system pairs Hyperledger Fabric as the authoritative store for land titles and ownership history with PostgreSQL for fast search projections and administrative workflow tracking. Sensitive supporting documents and identity evidence remain off-ledger in a private local IPFS instance, referenced via SHA-256 cryptographic hashes for end-to-end integrity. The full stack integrates a Next.js frontend with a FastAPI backend service, delivering independent maker-checker approvals across 10 distinct governance organizations—including Registrars, Revenue Officers, District Officials, and Courts.
AI / Full-stack platform · 2025