| - HOW TO IMPLEMENT & TRAIN OWN MODEL | |
| 1) WE HAVE DATA OF MALE FEMALE LABEL | |
| 2) THEN WE TrainImprove.py where we train our data & from that we build | |
| - gender_prediction_model_onLarge.h5 and tfidf_vectorizer_onLarge.joblib file | |
| 3) ml-st1.py ( streamlit ) provide user interface & use that model and tfdif vector for gender verfication. |