BMI Calculator and Tracker

Description:

This Python project calculates Body Mass Index (BMI) based on user-provided height and weight, supports both metric and imperial units, and tracks BMI over time in a CSV file. It also includes classification of BMI into categories such as underweight, normal weight, overweight, and three classes of obesity.

Features

BMI Calculation and Classification

The core functionality of the project revolves around accurately computing BMI based on user-provided height and weight data. It employs standard formulas to ensure precise results and then classifies the BMI into various categories:

• Underweight: BMI below 18.5
• Normal Weight: BMI between 18.5 and 24.9
• Overweight: BMI between 25 and 29.9
• Obese Class I: BMI between 30 and 34.9
• Obese Class II: BMI between 35 and 39.9
• Obese Class III: BMI 40 and above

Data Tracking and Visualization

CSV Data Storage

The project utilizes a CSV file (bmi_overtime.csv) to store BMI measurements along with timestamps. This allows users to track their BMI progression over days, weeks, months, or years.

Interactive Plotting

It includes a feature to generate interactive time series plots (bmi_overtime.png) using matplotlib. These graphs visually represent changes in BMI over the recorded period, aiding in trend analysis and long-term health management.

Input Validation and Error Handling

Robust Input Handling

The program ensures robust input validation to prevent errors and provide a smooth user experience. It checks for correct formats in both metric and imperial units, guiding users to enter data accurately.

Error Messaging

In case of invalid inputs or unexpected errors, the program provides clear error messages. This helps users understand what went wrong and how to correct it, enhancing usability.

Installation and Requirements

Installation Steps

Ensure Python 3 is installed on your system. Then, install the necessary libraries using:

pip install -r requirements.txt

Libraries that were used for this project

• argparse: For parsing command-line arguments.
• re: Regular expressions for input validation.
• sys: System-specific parameters and functions.
• csv: Reading and writing CSV files.
• os: Operating system interface for file operations.
• datetime: Handling dates and times.
• pandas: Data manipulation.
• matplotlib: Plotting graphs for the time series visualization.

Usage

Getting Started

To calculate your BMI and begin tracking, execute project.py with the following command format:

python project.py --height <height_value> --mass <mass_value> -s <unit_system>

Replace <height_value> with your height (in meters or feet/inches) and <mass_value> with your weight (in kilograms or pounds). Specify -s metric or -s imperial for the respective unit system.

Example Usage

python project.py --height 1.75 --mass 70 -s metric

Output and Results

Upon execution, the program computes your BMI, classifies it into a category, and displays the result. It appends this data along with a timestamp to bmi_overtime.csv. Additionally, it generates bmi_overtime.png, a visual representation of your BMI changes over time.

Example of visualization and tracking

Example CSV

Here is an example of the bmi_overtime.csv file that the program generates and appends to:

timestamp,bmi
2023-08-01,23.7
2023-25-02,24.2
2023-07-03,24.0
2023-17-04,24.8
2023-12-05,25.0
2023-02-06,25.7
2023-01-07,25.9
2023-15-08,26.9
2023-19-09,25.2
2023-23-10,24.5
2023-08-11,23.7
2023-25-12,24.2
2024-07-01,24.0
2024-17-02,24.8
2024-12-03,25.0
2024-02-04,25.7
2024-01-05,25.9
2024-15-06,26.9
2024-19-07,25.2
2024-23-08,25.5