> For the complete documentation index, see [llms.txt](https://orac-ai-1.gitbook.io/oracai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://orac-ai-1.gitbook.io/oracai/5.-technical-architecture-and-innovations.md).

# 5. Technical Architecture & Innovations

#### 5.1 Technology Stack

1. **Underlying Protocol: BSC (Binance Smart Chain)**

* **Smart Contracts:** Built on BSC for its mature ecosystem, scalability, and relatively low transaction fees.
* **Standards:**
* BEP-20 for the ORAC token
* BEP-721/BEP-1155 for diverse NFT use cases (AI Avatars, identity NFTs, in-game items)

2. **Layer 2 or Rollup Integrations**

* In anticipation of high network usage, OracAI will explore BSC-based Rollup solutions or independent sidechains.
* This approach ensures we retain BSC’s security while offloading heavy gaming or social transactions.

3. **AI Agent Layer**

* **Hybrid On-Chain/Off-Chain Design:** Large model training occurs off-chain (e.g., federated learning) to keep data private. AI decisions and results can be verified on-chain for transparency.
* **Agent SDK:** Developers can customize AI Agent behaviors (e.g., DeFi arbitrage bots, advanced content recommendation systems).

#### 5.2 Key Functional Modules

1. **Social Mining**

* Rewards in ORAC tokens for posting and managing communities. AI Agents optimize content distribution and social influence.
* **Social Influence Value (SIV):** A proprietary scoring system measuring on-chain interactions, content originality, and community impact.

2. **AI Agent Market**

* Users can buy, sell, or lease AI Agents specialized in tasks such as DeFi arbitrage or community management.
* Earnings settle in ORAC (or a stable partner token if needed), fostering an internal AI-agent economy.

3. **Decentralized Reputation System**

* **Zero-Knowledge Proofs (ZK):** Facilitates private yet verifiable credit scoring, enabling trust-based activities like uncollateralized lending.
* Preserves user privacy while allowing robust trust mechanisms.

4. **AI Model & Inference Services**

* Deploy large AI models on cloud services (AWS, GCP) or decentralized compute solutions (Golem, Akash).
* Integrate with decentralized or standard Web APIs (e.g., Chainlink Functions) for seamless AI services (text, image, voice).