Fuzzy Food Recommender

This project implements a fuzzy logic system in Python to recommend the level of food heaviness (light, moderate, or heavy) based on:

• Health level (0-100)
• Spicy preference (0-10)
• Sweet preference (0-10)
• Sour preference (0-10)

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🧠 How it works

• Inputs:

  • Health Level (Poor, Medium, Good)
  • Spicy Preference (Low, Medium, High)
  • Sweet Preference (Low, Medium, High)
  • Sour Preference (Low, Medium, High)

• Output:

  • Food Recommendation (Light, Moderate, Heavy)

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⚙️ How to run

Make sure you have skfuzzy and matplotlib installed:

pip install scikit-fuzzy matplotlib

Then run:

python fuzzy_food_recommender.py

You'll be prompted to enter your health and taste preferences.

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📈 Sample Output

Enter your health level (0 to 100): 75
Enter your spicy preference (0 to 10): 8
Enter your sweet preference (0 to 10): 7
Enter your sour preference (0 to 10): 4
Food Recommendation Level: 8.13

In this example, a user with good health and high spicy and sweet preferences receives a Heavy food recommendation (value close to 10).

A plot showing the output membership function will also be displayed.