2022

Harvard CS50: Introduction to Programing with Python

A’adel Sayyahi

🧮 BMI Calculator & Fatty Liver Probability

📖 Description

Fatty liver disease occurs when excess fat accumulates in the liver cells. Factors such as high-fat food consumption, alcohol intake, diabetes, and obesity contribute to this condition. A high BMI (Body Mass Index)—especially over 25—can increase the risk of fatty liver.

BMI is a widely used measurement that evaluates whether a person has a healthy weight for their height. It is calculated using the formula:

[ BMI = \frac{weight (kg)}{(height (m))^2} ]

The classification is as follows:

• Underweight: BMI < 18.5
• Normal weight: BMI 18.5 - 24.9
• Overweight: BMI 25 - 29.9
• Obese: BMI ≥ 30

Although BMI is a useful indicator, diagnosing fatty liver requires medical tests such as blood analysis and ultrasound imaging. This program provides only an estimated probability of fatty liver based on BMI.

💻 About the Project

📌 Introduction

This Python-based BMI Calculator & Fatty Liver Probability Estimator provides users with:

• A graphical user interface (GUI) built with PyQt5
• Data visualization using pyqtgraph
• BMI calculation based on user input (height & weight)
• A basic estimation of fatty liver probability and severity

🛠 Code Breakdown

1. Libraries: Imports sys, PyQt5, and pyqtgraph.
2. BMICalculator Class:
   • Defines GUI elements (labels, input fields, buttons, graph)
   • Organizes layout using QVBoxLayout
3. calculate() Method:
   • Computes BMI from user input
   • Determines fatty liver probability and grade
   • Updates the result label and plots the BMI value
4. plot_data() Method:
   • Uses pyqtgraph to display BMI graphically
5. Helper Functions:
   • determine_fatty_liver_prob(bmi): Estimates probability
   • determine_fatty_liver_degree(bmi): Assigns severity grade
6. Main Function:
   • Runs the PyQt5 application loop

📸 Sample Test with Images

Below is an example of the program in action, displaying BMI calculations with two sample images:

✅ Conclusion

This project provides a simple BMI calculator with fatty liver probability estimation. While BMI is a useful health indicator, a medical diagnosis is necessary for confirming fatty liver disease.

💡 Future Improvements: Integrating medical imaging analysis (ultrasound, CT) using AI for accurate detection.

🔹 Developed as part of CS50P 2022 🔹

📜 Certification This project is a result of my participation in the CS50P 2022 course, which I have successfully completed. My certificate can be verified at the following link:

🔗 Certificate Verification Link