A machine learning project that predicts Body Mass Index (BMI) from facial images using deep learning models such as VGG16 and Facenet. This project is inspired by and extends the work from “Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media” by Kocabey et al.

├── BMI_facial_detect_Cindy.ipynb # EDA and preprocessing

├── app.py # Streamlit app interface

├── best_model.joblib # Final trained model

├── clean_bmi_data.csv # Cleaned and preprocessed data

├── data.csv # Original dataset

├── vgg_code.ipynb # VGG16 model code

├── BMI_Models_ZC # Additional model implementation

├── ML_project.Models(...) # Combined VGG16 + Facenet model

├── README.md # Project documentation