AI Blockchain Real Estate Platform MVP
Budget: $20,000 – $50,000 USD
The project centres on delivering the first public-facing release of an all-in-one real-estate platform. The web app is already framed around React on the front end, a Node.js/Express API, and PostgreSQL for persistence. What I now need is the full implementation of the core intelligence and Web3 functionality that will set the product apart.
AI scope
• Price predictions and property recommendations go live in this milestone.
• A decision-tree model will drive the initial pricing engine; the code should be cleanly abstracted so that deeper neural models can be swapped in later with minimal refactor.
• Model training can run offline, but the REST endpoint must return fresh predictions from the most recent model artefact.
Blockchain scope
• Fractional ownership and smart-contract escrow both launch immediately.
• Contracts must deploy on Ethereum mainnet first, with Solana support made available behind a feature flag.
• Expect ERC-20 style share tokens, on-chain record of fractions held, and an escrow contract that automatically releases funds once inspection contingencies are met.
Key integrations
React pages need to surface:
– real-time price estimates beside each listing,
– a “buy fraction” flow that spins up the escrow contract, and
– a portfolio dashboard reading on-chain holdings through Web3.js / Ethers.js.
Deliverables
1. Decision-tree model (Python or TypeScript) with reproducible training script and documented feature set.
2. REST/GraphQL endpoints for predictions and recommendations, wired to the React UI.
3. Solidity contracts (plus Hardhat tests) covering fractional shares and escrow logic, deployed to Ethereum testnet and demonstrated in a short Loom video.
4. Cross-chain abstraction layer prepared for Solana (Anchor framework stubs acceptable for this phase).
5. Final code pushed to our GitHub with a concise README and setup script; CI pipeline must pass all unit tests.
Acceptance criteria will rely on:
• <2 % MAE on the price prediction validation set,
• full end-to-end purchase of a listing fraction on testnet with escrow release,
• successful frontend rendering of wallet balances updated within 10 s of chain confirmation.
The codebase is already initialized; jump in, wire up the intelligence and the chain components, and keep future extensibility in mind throughout.
AI scope
• Price predictions and property recommendations go live in this milestone.
• A decision-tree model will drive the initial pricing engine; the code should be cleanly abstracted so that deeper neural models can be swapped in later with minimal refactor.
• Model training can run offline, but the REST endpoint must return fresh predictions from the most recent model artefact.
Blockchain scope
• Fractional ownership and smart-contract escrow both launch immediately.
• Contracts must deploy on Ethereum mainnet first, with Solana support made available behind a feature flag.
• Expect ERC-20 style share tokens, on-chain record of fractions held, and an escrow contract that automatically releases funds once inspection contingencies are met.
Key integrations
React pages need to surface:
– real-time price estimates beside each listing,
– a “buy fraction” flow that spins up the escrow contract, and
– a portfolio dashboard reading on-chain holdings through Web3.js / Ethers.js.
Deliverables
1. Decision-tree model (Python or TypeScript) with reproducible training script and documented feature set.
2. REST/GraphQL endpoints for predictions and recommendations, wired to the React UI.
3. Solidity contracts (plus Hardhat tests) covering fractional shares and escrow logic, deployed to Ethereum testnet and demonstrated in a short Loom video.
4. Cross-chain abstraction layer prepared for Solana (Anchor framework stubs acceptable for this phase).
5. Final code pushed to our GitHub with a concise README and setup script; CI pipeline must pass all unit tests.
Acceptance criteria will rely on:
• <2 % MAE on the price prediction validation set,
• full end-to-end purchase of a listing fraction on testnet with escrow release,
• successful frontend rendering of wallet balances updated within 10 s of chain confirmation.
The codebase is already initialized; jump in, wire up the intelligence and the chain components, and keep future extensibility in mind throughout.
Related categories:
PHP
Website Design
Node.js
PostgreSQL
RESTful
Blockchain
Neural Networks
AI Development