Technical Architecture

Technical Architecture

Overview

The AIPaul platform is built on a layered modular architecture designed for scalability, security, decentralization, and extensibility. Each major component operates independently while communicating through standardized, verifiable interfaces.

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System Layers

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1. Data Aggregation Layer

• Collects real-time and historical data across multiple sources.

• Integrates sports statistics APIs, decentralized oracle feeds, and social sentiment trackers.

• Standardizes data into structured formats for AI preprocessing.

Sample Code: Fetch Data from Sports API (Node.js)

const axios = require('axios');

async function fetchSportsData(matchId) {
    const response = await axios.get(`https://api.sportsdata.io/v4/soccer/scores/json/Match/${matchId}`, {
        headers: { 'Ocp-Apim-Subscription-Key': 'YOUR_API_KEY' }
    });
    return response.data;
}

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2. Prediction Engine Layer

• Runs supervised learning models, ensemble algorithms, and time-series forecasters.

• Dynamically adapts model parameters based on live updates.

• Outputs prediction probabilities and confidence scores.

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3. Oracle Submission Layer

• Encapsulates prediction outputs into verifiable payloads.

• Publishes prediction hashes and metadata onto blockchain smart contracts.

• Enables public verification and dispute resolution.

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4. Blockchain Smart Contract Layer

• Manages prediction storage, staking, governance voting, and reward distribution.

• Provides APIs for external dApps to integrate prediction data feeds.

Sample Code: Basic Oracle Contract for Submitting Predictions (Solidity)

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;

contract PredictionOracle {
    struct Prediction {
        uint eventId;
        uint8 outcome;
        uint256 confidence;
        uint256 timestamp;
    }

    mapping(uint => Prediction) public predictions;

    function submitPrediction(
        uint eventId,
        uint8 outcome,
        uint256 confidence
    ) external {
        predictions[eventId] = Prediction(eventId, outcome, confidence, block.timestamp);
    }
}

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5. User Interface Layer (Front-End)

• Web application interfaces (React, Next.js) for users to interact with the platform.

• Connects via Web3 wallets (e.g., MetaMask, WalletConnect).

• Provides dashboards for predictions, staking, and governance voting.

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Architectural Highlights

• Modularity: Each layer can be independently upgraded without disrupting the entire system.

• Security: Critical operations like staking and voting are handled via audited smart contracts.

• Transparency: Prediction data, model hashes, and governance votes are fully auditable on-chain.

• Developer-Friendly APIs: Public API endpoints allow third-party developers to build on top of AIPaul infrastructure.