UncertainPrinciple/titanic-model-v1

Titanic Survival Predictor 🚢

This project is a simple AI application that predicts a passenger's survival chances on the Titanic based on their characteristics.
The model was trained using scikit-learn and deployed on Hugging Face Spaces with Gradio.

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🧠 About the Model

The model was trained on the classic Titanic dataset (Kaggle).
It predicts survival probability based on:

• Sex
• Age
• Passenger class
• Number of siblings/spouses aboard
• Fare, etc.

Model file: titanic-model.pkl

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💻 Demo

A simple Gradio interface lets you input passenger data and get an instant prediction.

To run locally:

pip install -r requirements.txt
python app.py

Then open the generated link (e.g. http://127.0.0.1:7860
) in your browser.

📁 Project Structure
titanic-app/
│
├── app.py                # Gradio interface
├── titanic-model.pkl     # Trained model
├── titanic.ipynb         # Training notebook
├── requirements.txt      # Project dependencies
└── README.md             # Project overview

📜 License

This project is released under the MIT License — free to use, modify, and distribute.