2024 - Titanic Survival Predictor

I developed a Titanic survival prediction application where the AI model was implemented in Python using TensorFlow's Keras Functional API, and the user interface was built with PHP. The application is based on the well-known Titanic dataset, which includes features such as passenger class, age, gender, fare, number of family members aboard, and embarkation port. These inputs are used to predict the survival probability of passengers through our deep learning model. On the application interface, the left side features a dynamic form where users can enter passenger attributes. These inputs are appended to a test dataset displayed on the right side of the page. When the "Run Prediction" button is clicked, the model processes the inputs and returns the predicted survival outcomes.