this was a kaggle competetion for classification of smoker or not smoker. so i have many alogs like randomforest ,decision tree, logistic regression, but xgboost perform well on training data and testing too.the accuracy of the model was 87.222%. just explore the model and web application using streamlit. rank close to 422 out of 1924 in kaggle competition.

How to run this file?

pip install -r requirements.txt

python app.py

https://smokeguardai.onrender.com/ deployed the web interface using Render