🚢 Titanic ML Predictor

Use machine learning to predict passenger survival on the Titanic. Sign in to start making predictions.

🧠 Machine Learning

Scikit-learn pipeline with Logistic Regression and Decision Tree models. Features engineering includes age groups, fare categories, and family size from passenger data.

Training: 80/20 train-test split on public Titanic dataset

Models: Logistic Regression & Decision Tree with ensemble averaging

Features: Age, class, gender, fare, family size, embarkation port

Model Accuracy

~82%

🏗️ Full Stack

Remix.js frontend with server-side rendering connecting to production FastAPI ML service with JWT authentication and rate limiting.

Frontend: Remix SSR, TypeScript, Firebase Auth, DaisyUI

Backend: FastAPI with lazy loading, JWT RS256, Redis rate limiting

API Features: Request tracing, health monitoring, input validation

Remix FastAPI Firebase JWT

🚀 DevOps & CI/CD

Multi-environment deployment pipeline with automated testing, security scanning, and containerized deployments to Google Cloud Run and Firebase App Hosting.

Frontend: Firebase App Hosting with automatic builds from git

Backend: Google Cloud Run with Docker containers and health checks

Pipeline: GitHub Actions, Ruff linting, pytest testing, security scans

Firebase Cloud Run Docker Actions