An end-to-end predictive maintenance application using machine learning to enhance industrial efficiency. This project employs robust modular architecture and advanced MLOps practices, including Docker and AWS for scalable, real-time maintenance predictions.

An end-to-end predictive maintenance project built on the NASA CMAPSS turbofan dataset. Includes data preprocessing, feature engineering, model training, evaluation, and a production-ready FastAPI inference service. Designed to demonstrate practical ML and MLOps skills through a real, working workflow.

This project is an end-to-end MLOps pipeline for predictive maintenance, focused on predicting machine failure using manufacturing sensor data. The entire pipeline is containerized using Docker, integrated with GitHub Actions for CI/CD, and deployed to Azure Web Services.

End-to-end MLOps project for predictive maintenance using engine sensor data. Includes data versioning on Hugging Face, MLflow experiment tracking, CI/CD with GitHub Actions, and Dockerized Streamlit deployment for real-time engine failure classification.

Aircraft components are susceptible to degradation, which affects directly their reliability and performance. This machine learning project will be directed to provide a framework for predicting the aircraft’s remaining useful life (RUL) based on the entire life cycle data in order to provide the necessary maintenance behavior.

End-to-end MLOps pipeline for predictive maintenance using sensor data. Features automated model training, drift detection, FastAPI deployment, and comprehensive monitoring with 92% accuracy in failure prediction.

A Predictive Maintenance Model with MLOps

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MLOps pipeline for predictive maintenance with XGBoost baseline and LSTM temporal model

This is an end to end mlops capstone project for Predictive maintenance.

Build a predictive maintenance API for ship engines, predicting Remaining Useful Life (RUL) of machinery components based on sensor data. Dataset: Use NASA’s CMAPSS Turbofan Engine Degradation Simulation Dataset (public, widely used for RUL prediction). In your documentation, frame it as “sensor data from marine engines.”

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This project involves working with the AI4I 2020 Predictive Maintenance Dataset, a synthetic dataset that simulates real-world industry scenarios for predictive maintenance. Objective: Develop an efficient and scalable MLOps pipeline for automating the machine learning workflow in predictive maintenance.

An end-to-end MLOps system that predicts aircraft engine Remaining Useful Life (RUL) using NASA C-MAPSS data, served via FastAPI, tracked with MLflow, monitored through Prometheus & Grafana, and deployed on AWS EC2 with CI/CD automation.

Complete end-to-end MLOps pipeline for predictive maintenance using LSTM models, featuring real-time inference, automated retraining, and comprehensive monitoring.

ML-powered predictive maintenance with full MLOps, such as TensorFlow, FastAPI, MLflow, Docker, CI/CD

End-to-end predictive maintenance system combining XGBoost, MLOps, and a RAG-based LLM assistant with Streamlit deployment.

AI-powered predictive maintenance system that leverages IoT sensor data and advanced machine learning models to forecast equipment failures, minimize downtime, and optimize industrial maintenance operations through scalable MLOps deployment.

Production-grade predictive maintenance MLOps system (demo). Predicts equipment failures 24hrs in advance using deep learning (LSTM), real-time Kafka streaming & data drift monitoring. Trained on synthetic data - live version processes real industrial sensors at scale. Reduces downtime by 40%. Stack: PyTorch, Streamlit, Kafka.

An award-winning, now open source platform for predictive industry maintenance. This project is built on a resilient and scalable stack including FastAPI, PostgreSQL/TimescaleDB , and Redis, all with Docker and with full cloud AWS EC2 deployment. It implements a Multi-Agent AI system and a MLOps lifecycle with MLflow to manage 17 distinct models

mlops-predictive-maintenance

mlops-predictive-maintenance

predictive-maintenance-mlops

predictive maintenance mlops

Predictive Maintenance using MLOps

PredictiveMaintenance-MLOps

MLOps pipeline for predictive maintenance

predictive-maintenance-mlops Basic Project.

predictive-maintenance-mlops for capstone project

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