// AI Model Interface
      interface IAIModel {
          function predict(data: string) external returns (string);
          function train(trainingData: string) external;
          function getAccuracy() external view returns (number);
      }
      
      /// @title AI Model Deployment and Management Contract
      /// @dev Enables deployment, training, and management of AI models
      contract AIModelManager {
          event ModelDeployed(address indexed modelAddress, string modelName);
          event ModelTrained(address indexed modelAddress, number accuracy);
          event ModelPrediction(address indexed modelAddress, string input, string output);
      
          /// @notice Deploys a new AI model
          /// @param modelName Name of the AI model
          /// @param initialTrainingData Initial training data for the model
          /// @return address Address of the deployed AI model contract
          function deployModel(string memory modelName, string memory initialTrainingData)
              external
              returns (address)
          {
              AIModel newModel = new AIModel(modelName);
              newModel.train(initialTrainingData);
              emit ModelDeployed(address(newModel), modelName);
              return address(newModel);
          }
      
          /// @notice Makes a prediction using an AI model
          /// @param modelAddress Address of the AI model contract
          /// @param input Input data for prediction
          /// @return string Prediction result from the AI model
          function makePrediction(address modelAddress, string memory input)
              external
              returns (string memory)
          {
              IAIModel model = IAIModel(modelAddress);
              string memory result = model.predict(input);
              emit ModelPrediction(modelAddress, input, result);
              return result;
          }
      }
      
      /// @title AI Model Implementation
      /// @dev Basic implementation of an AI model with prediction capabilities
      contract AIModel is IAIModel {
          string public modelName;
          number public accuracy;
          mapping(string => string) private predictions;
      
          constructor(string memory _modelName) {
              modelName = _modelName;
          }
      
          function predict(string memory data) external returns (string memory) {
              // In a real implementation, this would use ML algorithms
              // Simplified for demonstration
              if (predictions[data] != "") {
                  return predictions[data];
              }
              return "Prediction result";
          }
      
          function train(string memory trainingData) external {
              // Training logic would be implemented here
              accuracy = 0.85; // Example accuracy
          }
      
          function getAccuracy() external view returns (number) {
              return accuracy;
          }
      }
                 

/// @title AI Model Inference Contract
/// @dev Enables seamless integration and invocation of AI models
contract AIModelInference {
    address public modelAddress;
    string public modelVersion;
    uint256 public inferenceCount;
    uint256 public lastInferenceTime;

    event ModelInferred(
        string inputData,
        string outputResult,
        uint256 inferenceTime
    );
    
    event BatchInferenceCompleted(
        uint256 batchSize,
        uint256 totalTime
    );

    constructor(address _modelAddress, string memory _modelVersion) {
        modelAddress = _modelAddress;
        modelVersion = _modelVersion;
    }

    /// @notice Invokes the AI model for a single prediction
    /// @param inputData Input data for the model prediction
    /// @return outputResult The prediction result from the AI model
    function predict(string memory inputData) external returns (string memory) {
        // Record inference start time
        uint256 startTime = block.timestamp;
        
        // Simplified prediction logic
        // In a real implementation, this would call the actual model
        string memory outputResult = performInference(inputData);
        
        // Update inference metrics
        inferenceCount++;
        lastInferenceTime = block.timestamp;
        
        emit ModelInferred(
            inputData,
            outputResult,
            block.timestamp - startTime
        );
        
        return outputResult;
    }

    /// @notice Performs batch inference with multiple inputs
    /// @param inputDataBatch Array of input data for batch prediction
    /// @return outputResults Array of prediction results
    function batchPredict(string[] memory inputDataBatch) external returns (string[] memory) {
        uint256 startTime = block.timestamp;
        uint256 batchSize = inputDataBatch.length;
        
        // Initialize results array
        string[] memory outputResults = new string[](batchSize);
        
        // Process each input in the batch
        for (uint256 i = 0; i < batchSize; i++) {
            outputResults[i] = performInference(inputDataBatch[i]);
        }
        
        // Update metrics and emit event
        inferenceCount += batchSize;
        lastInferenceTime = block.timestamp;
        
        emit BatchInferenceCompleted(
            batchSize,
            block.timestamp - startTime
        );
        
        return outputResults;
    }

    /// @notice Internal function to perform the actual inference
    /// @param inputData Input data for inference
    /// @return result The inference result
    function performInference(string memory inputData) internal pure returns (string memory) {
        // This is a simplified placeholder
        // In a real implementation, this would interact with the actual AI model
        // through appropriate interfaces or off-chain mechanisms
        return string(abi.encodePacked("Processed: ", inputData));
    }

    /// @notice Gets the current inference statistics
    /// @return _modelVersion, _inferenceCount, _lastInferenceTime
    function getInferenceStats() external view returns (
        string memory, 
        uint256, 
        uint256
    ) {
        return (modelVersion, inferenceCount, lastInferenceTime);
    }
}