README.md

metadata

title: Predictive Maintenance
emoji: 🔧
colorFrom: red
colorTo: gray
sdk: docker
app_port: 7860
app_file: app.py
pinned: false
license: mit

Predictive Maintenance — Engine Health Monitor 🔧

An intelligent ML-powered system that monitors engine sensor data and predicts failure risk in real time.

Features

• Real-time Predictions: Instant engine health scoring
• Interactive Interface: User-friendly Streamlit web application
• Multiple Algorithms: Best model selected from 6 different algorithms
• MLOps Integration: Complete pipeline with experiment tracking

Technical Stack

• Backend: Python, Scikit-learn, XGBoost
• Frontend: Streamlit
• ML Tracking: MLflow
• Deployment: Docker, HuggingFace Spaces