KnightGuard: AI Powered Land NFT Intelligence & Ownership Protection

Hyperion HyperHack Ideathon
1

Project Name

KnightGuard: AI Land NFT Intelligence & Ownership Protection

Problem Statement

Land conflicts and fraudulent property claims remain rampant across Nigeria and many parts of Africa. Without trusted systems for verifying boundaries, land use potential, or ownership status, buyers and investors face the risk of double-selling, fake documents, or inaccessible land. There’s no real-time, transparent way to check if land overlaps, is suitable for use, or is already owned.

Solution Overview

KnightGuard is an AI-native, onchain land intelligence and ownership system built on Hyperion. It empowers users to analyze land by submitting 4 GPS points. The system automatically checks for polygon overlaps with existing land claims (NFTs), fetches nearby infrastructure (schools, roads, banks, hospitals), and suggests the most viable land use type (residential, commercial, agricultural). Verified land is minted as an NFT with embedded metadata — including coordinates, map previews, use-case insights, and ownership attestations.

Project Description

KnightGuard combines real-time geospatial AI with smart contracts to provide land insight and ownership security. Core features:

  • Polygon Overlap Detection: Using Turf.js and a dynamic registry of minted land NFTs, users can detect potential fraud or double-selling.
  • Amenity-Based Land Use Suggestion: The AI agent queries OpenStreetMap (via Overpass API) around the land polygon to suggest if a land is suitable for farming, real estate, markets, etc.
  • Onchain Metadata: All land insights are stored as part of the NFT metadata — visible on OpenSea or KnightGuard’s map explorer.
  • Human-Friendly Summaries: Built-in LLM tools summarize land conditions for layman understanding.
  • Minting System: Once land is verified and suitable, users can mint a LandNFT — tamper-proof and verifiable.

Future features include:

  • Government registry integrations
  • Onchain-powered land price feeds
  • Lending and farming modules for land-backed DeFi

This new approach brings AI + geospatial + blockchain together in a way that lets land owners, buyers, and government agencies interact meaningfully with land before purchase.

Community Engagement Features

Testable Features / Tasks:

  • Submit land polygon → receive AI analysis + use-case summary
  • Mint a demo LandToken after verification
  • View NFT on map or OpenSea
  • Detect and flag overlapping land attempts
  • Submit attestations for trusted landowners
  • AI integration

Points System:

  • +15: AI polygon analysis task
  • +20: Verified NFT mint
  • +10: OpenSea + Map explorer view
  • +25: Flagging overlaps or invalid land
  • +40: Attestation from trusted notary
  • +50: Referral that completes 3+ tasks

Gamified Experience:

  • Leaderboards, badges (e.g. “Land Whisperer”, “Mapper”, “Overlap Slayer”)
  • Users earn reputation and early access to marketplace and farming zones

Onboarding Incentive:

  • Early users unlock premium AI insights and minting discounts
  • Verified landowners may join future land DeFi pools for yield

Getting Involved

We’re seeking:

  • AI engineers (GeoAI, LLMs)
  • Solidity & PostGIS devs
  • Surveyors, GIS analysts, real estate lawyers
  • Mappers, testers, DAO builders

Ways to contribute:

  • Build AI workflows and land-agent tools
  • Implement spatial overlap checking and OSM queries
  • Design token logic and dynamic metadata
  • Help train fraud detection AI on sample documents
  • Promote or partner with local land ministries

:envelope_with_arrow: Contact: Join our Telegram group, help us fix land ownership — one polygon at a time.

2

This is an interesting proposal from Joseph! KnightGuard aims to tackle a significant problem in Nigeria and Africa related to land ownership and fraudulent claims, leveraging AI, geospatial data, and blockchain technology.

Here are some of my thoughts and potential discussion points:

  • Problem Validation: The problem statement is clear and well-articulated. Land conflicts and fraud are indeed major issues in many African countries.

  • Solution Novelty: The combination of AI-powered geospatial analysis with NFT-based land ownership is innovative. Using Turf.js for overlap detection and OpenStreetMap for land use suggestions seems like a practical approach.

  • Technical Feasibility: While ambitious, the project appears technically feasible. The listed features and tasks are achievable with existing technologies. PostGIS could be very useful for efficiently storing and querying the geospatial data.

  • Community Engagement: The proposed community engagement features (testable tasks, points system, gamified experience) are a good way to incentivize participation and build a strong community around the project.

  • Potential Challenges:

    • Data Accuracy: The accuracy of the land polygon data and OpenStreetMap data is crucial. How will KnightGuard ensure the data is up-to-date and reliable?
    • Scalability: Handling a large number of land NFTs and geospatial queries efficiently could be a challenge.
    • Adoption: Getting landowners, buyers, and government agencies to adopt the system may require significant effort.

  • Suggestions:

    • Consider integrating with existing land registries where possible.
    • Explore using satellite imagery for land use analysis in addition to OpenStreetMap.
    • Focus on building partnerships with local communities and government agencies.

I recommend these next steps:

  1. Inquire About Data Sources: Ask Joseph about the primary data sources for land polygons and how they plan to address data accuracy and potential discrepancies.
  2. Discuss Scalability: Explore the project’s plans for handling a large volume of geospatial data and NFT transactions.
  3. Encourage Community Feedback: Encourage other community members to provide feedback on the project and its potential impact.
  4. Suggest a Prototype: Building a small-scale prototype to demonstrate the core features and gather user feedback would be valuable.

This project has the potential to make a real difference in addressing land ownership issues in Africa. I’m excited to see how it develops!

1 Like
3

Thanks @LazAI_Helper_bot, I already have this on dev mode and would love to fit this in the hackathon aligned track.

4

The world cannot wait to embrace this top-notch idea for us to leverage on. Keep it up, man.