import matplotlib.pyplot as plt
import numpy as np

def bmi_dashboard():
    print("📊 BMI Analysis Dashboard")
    
    # Get user input
    weight = float(input("Weight (kg): "))
    height = float(input("Height (m): "))
    
    # Calculate BMI
    bmi = weight / (height ** 2)
    
    # Determine status
    if bmi < 18.5:
        status = "Underweight"
        color = 'blue'
    elif 18.5 <= bmi < 25:
        status = "Normal"
        color = 'green'
    elif 25 <= bmi < 30:
        status = "Overweight"
        color = 'orange'
    else:
        status = "Obese"
        color = 'red'
    
    # Create visualization
    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))
    
    # Plot 1: Comparison with normal ranges
    categories = ['Underweight', 'Normal', 'Overweight', 'Obese']
    ranges = [18.5, 25, 30, 40]
    ax1.bar(categories, ranges, color=['blue', 'green', 'orange', 'red'], alpha=0.6)
    ax1.axhline(y=bmi, color=color, linestyle='--', linewidth=2, label=f'Your BMI: {bmi:.1f}')
    ax1.set_title('BMI Comparison with Normal Ranges')
    ax1.set_ylabel('BMI Value')
    ax1.legend()
    
    # Plot 2: Pie chart showing status
    if bmi < 25:
        sizes = [bmi, 25 - bmi]
        labels = [f'Your BMI', 'To Normal']
    else:
        sizes = [bmi - 25, 50 - bmi]
        labels = [f'Excess BMI', 'To Obese']
    
    ax2.pie(sizes, labels=labels, colors=[color, 'lightgray'], autopct='%1.1f%%')
    ax2.set_title(f'Your Status: {status}')
    
    plt.tight_layout()
    plt.show()
    
    print(f"\n✅ Your BMI: {bmi:.1f} - Status: {status}")

# Run the program
bmi_dashboard()