Technology Architecture

The FANORA ecosystem is built on the high-speed, low-cost infrastructure of the BNB Chain, seamlessly integrating on-chain systems (smart contracts, DAO, P2P marketplace) with off-chain engines (AI model pipeline, API layer). This hybrid architecture automates the entire cycle—from content creation to participation data collection, meme viralization, on-chain rewards, and monetization—while ensuring transparency and trust across the ecosystem.

1. On-Chain Stack (Blockchain Infrastructure Layer)

FANORA’s on-chain components, built on the BNB Chain, include the following:

1-1. BEP-20 FANORA Token (Token Contract Layer)

Standard: BEP-20 (BNB Smart Chain) Functions: Total supply, transfer logic, anti-blacklist protections, optional burn function

Technical Components:

• Token contract written in Solidity

• Security modules based on OpenZeppelin libraries

• Upgradeable Proxy architecture (UUPS pattern)

• ReentrancyGuard to prevent reentrancy attacks

1-2. NFT (Metaverse Asset Layer) – BEP-721 / ERC-721

Minting for fan art, memes, tickets, phygital merchandise, etc. Metadata stored on IPFS or Arweave SHA-256 hash stored for protecting original media integrity

Functions:

• Mint / Burn / Transfer

• Royalty support (ERC-2981)

• Lazy Minting (optional)

1-3. DAO Voting System (Governance Layer)

Voting Models: Quadratic Voting or Token-Weighted Voting

Components:

• Proposal Contract

• Voting Contract

• TimeLock Controller

Technologies:

• Snapshot-based off-chain voting with on-chain execution

• Multi-Sig or Timelock-based automated execution

• Extendable to include Activity Score-weighted voting based on fan contribution

1-4. P2P Escrow Smart Contract (Marketplace Settlement Layer)

Smart contracts enabling safe trades of fandom goods, NFTs, and physical merchandise.

Functions:

• Escrow deposit (buyer fund protection)

• Seller verification

• Delivery confirmation

• Dispute resolution logic

• Automated settlement (Release Funds)

Technical Stack:

• Solidity

• Chainlink Automation for time-based logic

1-5. Staking Pool (Yield & Reward Mechanism)

Functions:

• Stake / Unstake

• Reward rate calculation

• Optional auto-compounding

Reward Models:

• Block-based rewards

• Activity-based bonus rewards

• NFT staking multipliers

Technical Components:

• APY calculation logic

• Unbonding period

• Reward Distributor Contract

1-6. Multi-Sig Treasury (DeFi Security Layer)

• Multi-signature treasury based on Safe{Wallet}

• Treasury Spend Module linked with DAO voting

• All treasury transactions recorded fully on-chain

2. Off-Chain AI Engine (AI/ML Pipeline Layer)

The off-chain engine powers content creation, fan interaction, and meme analytics using AI.

2-1. AI Conversation Model (RUBY Persona LLM Layer)

A virtual idol LLM capable of real-time interaction with fans.

Technical Capabilities:

• RUBY personality embedding

• Multi-turn dialogue memory

• Emotion classification

Modeling Technologies:

• Fine-tuning on LLaMA / Qwen

• RAG architecture for syncing fan events & concept data

2-2. SNS Meme Tracking Engine (Off-Chain Behavior Indexing Layer)

Automatically tracks, records, and evaluates fan activity.

Capabilities:

• Hashtag analysis

• Meme viralization detection

• Traffic & engagement monitoring

Technologies Used:

• Twitter/X API

• YouTube Data API

• NLP-based Hashtag Classification

• Engagement Scoring Engine

3. On-Chain ↔ Off-Chain Integration (Hybrid Architecture)

FANORA connects AI-driven off-chain activity data with on-chain incentive mechanisms through a hybrid model.

3-1. Converting Off-Chain Behavior → On-Chain Activity Scores

Captured data includes:

• SNS engagement

• Meme creation volume

• Content interaction

Flow: Off-chain data collection → Normalization via Activity Oracle → Stored on-chain via external adapters (e.g., Chainlink)

3-2. On-Chain Rewards Based on Recorded Activity

Activity Score → Reward Distributor → Token distribution Automatic settlement for actions such as:

• Voting

• DAO participation

• NFT trading

3-3. Supergraph / Indexing Layer

Real-time data indexing using The Graph / Subgraph, providing up-to-date analytical views directly to the Dapp UI.