This project is a web-based application designed to assess cancer risk by generating personalized health-related questions and providing detailed guidance based on user responses.

This repository contains a machine learning model to predict the risk of cervical cancer based on various health factors. The model has been trained using the cervical.csv dataset and is implemented using Python. The prediction model is hosted on a web application built with Streamlit.