sandudul/BMI-Category-Predictor

This full-stack app leverages: Python libraries: scikit-learn, pandas, numpy, joblib, and Flask for data processing, model training, and backend development. Dataset sourced from Kaggle (500 Person Gender-Height-Weight-Body Mass Index dataset) 📊 A clean, responsive frontend designed with HTML, CSS, and JavaScript for a smooth user experience 🎨

30
/ 100
Emerging

This tool helps individuals understand their Body Mass Index (BMI) category by simply entering their gender, height, and weight. It processes this information to predict if someone is underweight, normal weight, overweight, or obese. It's designed for anyone curious about their general BMI classification.

Use this if you want a quick and easy way to find out your BMI category based on your personal measurements.

Not ideal if you need a diagnostic medical tool or detailed health advice; this is for general informational purposes only.

personal-health body-mass-index health-metrics wellness-tracking self-assessment
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 0 / 25

How are scores calculated?

Stars

10

Forks

Language

Python

License

MIT

Last pushed

Feb 16, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sandudul/BMI-Category-Predictor"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.