Module 01: Titanic Survival Engine

About this demo

This interactive demo shows a machine learning model that predicts whether a passenger on the RMS Titanic would have survived based on a few simple details. It is an educational tool — not a perfect prediction — that helps illustrate how models use features like age, sex, and travel class to estimate outcomes.

• Inputs: Passenger class (1 = highest, 3 = lowest), age, sex, family count, and simple flags.
• Output: A prediction ("Passenger Survived" or "Did Not Survive") plus a probability showing the model's confidence.
• How it works: Your inputs are sent to a backend model which returns the prediction in real time. Change the input paraments in the below form and and click on "Run Inference Engine" to see the prediction