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

# 5. Technical Architecture

**5.1 Overview Diagram**

Below is the system architecture for ROBOTO:

```lua
luaCopy code+------------------------------------------------------------+
|                      AI Root Smart Contract                |
|  +------------------------------------------------------+  |
|  |         - Monitors Chainlink Oracle Data             |  |
|  |         - Triggers Meme Generation by ROBOTO         |  |
|  |         - Updates Rules via Governance               |  |
|  +------------------------------------------------------+  |
|                                                            |
+------------------------------------------------------------+
            |                   |                     |
  +-------------------+  +-------------------+  +-------------------+
  | Chainlink Oracle  |  | Pump.fun Platform |  | Twitter API       |
  | - ETH & SOL Data  |  | - Meme Deployment |  | - Notifications   |
  +-------------------+  +-------------------+  +-------------------+
            |
  +-------------------+
  | ROBOTO AI Engine  |
  | - Meme Generation |
  | - Sentiment Analysis |
  +-------------------+
```

***

**5.2 Smart Contracts**

The smart contracts transparently manage triggers based on Chainlink oracle data, ensuring on-chain recordkeeping of emitted events and AI interactions. Below is the updated implementation:

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

import "@chainlink/contracts/src/v0.8/interfaces/AggregatorV3Interface.sol";

contract MemeTrigger {
    AggregatorV3Interface internal priceFeed;
    uint256 public lastPrice;

    event PriceTriggerChecked(uint256 currentPrice, bool triggered);
    event MemeTriggered(address triggeredBy);

    constructor(address _priceFeed) {
        priceFeed = AggregatorV3Interface(_priceFeed);
        lastPrice = getLatestPrice();
    }

    function getLatestPrice() public view returns (uint256) {
        (, int256 price, , ,) = priceFeed.latestRoundData();
        return uint256(price);
    }

    function checkForTrigger() public returns (bool) {
        uint256 currentPrice = getLatestPrice();
        bool triggered = currentPrice >= lastPrice * 105 / 100; // Trigger on 5% price increase
        emit PriceTriggerChecked(currentPrice, triggered);
        if (triggered) {
            emit MemeTriggered(msg.sender);
            lastPrice = currentPrice;
        }
        return triggered;
    }
}
```

***

**5.3 AI Engine**

* **Input:** ETH and SOL price data, market sentiment analysis.
* **Output:** Generated memes with text and visuals.
* **Technology:** Combines NLP models for text generation and image-generation algorithms for visual output.