Doctor Breathe

Doctor Breathe is a machine learning–based prediction system designed to estimate lung cancer risk based on user habits and characteristics. The application uses a chatbot-style interface that guides users through a series of key questions, collecting data such as age, body mass index, smoking history and other relevant factors. This information is processed to generate a risk estimation based on patterns learned from a large-scale dataset. The goal of the project is not to provide a medical diagnosis, but to demonstrate how machine learning models can be applied to analyze health data and generate useful insights to support decision-making. From a technical perspective, the system is built with Python and Flask for the backend and prediction model, along with a Vue and TypeScript interface for user interaction. The main focus was to integrate artificial intelligence into an accessible and understandable experience for non-technical users.