BMI Calculator with NumPy

Apply NumPy arrays to real-world health data. Body Mass Index (BMI) is one of the simplest ways to estimate a person’s health status by relating weight to height. In this project, you will build a BMI Calculator with NumPy, learning how to use arrays and vectorized operations to process multiple records at once. Instead of calculating BMI one person at a time, you’ll apply formulas to entire datasets efficiently. You’ll start by creating NumPy arrays for height and weight data. Then, using vectorized arithmetic, you’ll compute BMI values for all individuals in a single step. After that, you’ll add logic to classify results into categories such as Underweight, Normal, Overweight, and Obese. To make the calculator more practical, you’ll also practice handling different units (meters vs. centimeters, kilograms vs. pounds) and ensure accurate conversions. By the end of this project, you will be able to: Use NumPy arrays to manage height and weight datasets. Apply vectorized operations to compute BMI for multiple individuals. Classify BMI values into meaningful health categories. Handle unit conversions with safe and reusable functions. Present results in a structured format for analysis or reporting. This project highlights the power of NumPy for working with real-world data: you’ll see how arrays eliminate repetitive loops and make calculations cleaner and faster. It’s a practical, hands-on way to connect Python skills to health and lifestyle applications—while reinforcing your understanding of arrays, broadcasting, and basic data analysis.