
    Design a function for the loan approval system that determines the next standardized credit score threshold by finding the next perfect square number above the current threshold value. The system uses perfect square values as standardized credit score boundaries to create consistent risk assessment brackets for loan approvals. This ensures uniform credit score categorization across all loan applications while maintaining mathematical consistency in risk assessment.
    

    
import math

def next_Perfect_Square(N):
    """
    Design a function for the loan approval system that determines the next standardized credit score threshold by finding the next perfect square number above the current threshold value. The system uses perfect square values as standardized credit score boundaries to create consistent risk assessment brackets for loan approvals. This ensures uniform credit score categorization across all loan applications while maintaining mathematical consistency in risk assessment.
    

    """
import math

def next_Perfect_Square(N):
    """
    Design a function for the loan approval system that determines the next standardized credit score threshold by finding the next perfect square number above the current threshold value. The system uses perfect square values as standardized credit score boundaries to create consistent risk assessment brackets for loan approvals. This ensures uniform credit score categorization across all loan applications while maintaining mathematical consistency in risk assessment.
    

    """
    nextN = math.floor(math.sqrt(N)) + 1
    return nextN * nextN