Published Paper Details:

Imagine you're feeling off--feverish, tired, maybe a nagging cough--but it's late, and the clinic's closed. Digital tools have exploded in healthcare, yet folks in rural spots or busy cities still struggle for that first bit of reliable advice. Enter our AI-based virtual nursing assistant: a web app that grabs your symptoms, crunches them with a Naive Bayes model, and spits out likely conditions plus practical tips like "rest up and hydrate." We built the backend in Python/Flask, frontend with HTML/CSS/JS for a smooth feel, and used MultiLabelBinarizer to turn messy symptom lists into clean data. It's all about nursing-level guidance--no doctoring here, just helpful nudges. Tests clocked in at 1-2 seconds per query with solid accuracy on known inputs. Dataset limits hold it back now, but it's primed for deep learning upgrades. Bottom line: lightweight AI like this can spark better health habits, teach nursing students, and bridge care gaps everywhere.