Jet Engine Health Monitoring System using ML for Predictive Maintenance — a university group project.

HPC-optimized RUL prediction on NASA C-MAPSS FD001 dataset using XGBoost

Production-grade AI Predictive Maintenance Copilot using NASA CMAPSS data, combining classical ML, deep learning (LSTM/GRU), unified inference, FastAPI, Streamlit, GenAI (RAG), Docker, and Google Cloud Run deployment.

Predictive maintenance system classifying NASA turbofan engine health into actionable risk categories (Good/Moderate/Warning) using CatBoost and sensor data.