🧠 Features Automated data preprocessing and feature engineering Ensemble modeling (e.g. XGBoost, Random Forest, Logistic Regression) Modular and fully configurable training pipeline Real-time inference API endpoint Multi-cloud ready (AWS SageMaker, GCP Vertex AI, Azure ML) Integrated logging and evaluation metrics

Evaluation metrics tracked: Accuracy Precision Recall F1 Score ROC-AUC

🌐 Deployment Deploy using Docker or through a cloud ML service.

📊 Results

🚀 Future Work