AI Predictive Maintenance | React | Spring Boot | FastAPI | Machine Learning | Full Stack Project
AI Predictive Maintenance Platform | Full Stack + Machine Learning Project
In this project, I developed an AI-powered Predictive Maintenance Platform that combines full-stack development with Machine Learning to monitor industrial equipment in real time.
The platform continuously processes sensor data such as temperature, vibration, pressure, RPM, and current. A Random Forest Machine Learning model analyzes this data to predict equipment health and help identify potential failures before they become critical.
✨ Features
✅ Real-Time Equipment Monitoring
✅ AI Health Prediction (Healthy / Warning / Critical)
✅ Failure Probability
✅ Remaining Useful Life (RUL)
✅ Maintenance Recommendations
✅ Auto Refresh Dashboard
🛠 Tech Stack
• React.js
• Spring Boot
• Java
• FastAPI
• Python
• PostgreSQL
• Random Forest Machine Learning
• REST APIs
This project represents a scalable MVP and can be extended with real IoT sensors, cloud deployment, and advanced predictive analytics.
AI Predictive Maintenance
Predictive Maintenance Project
React Project
Spring Boot Project
FastAPI Project
Machine Learning
Random Forest
Java Project
Python Project
PostgreSQL
REST API
Full Stack Project
Software Engineering
Portfolio Project
Industry 4.0
Industrial AI
#ReactJS #SpringBoot #FastAPI #MachineLearning #ArtificialIntelligence #PredictiveMaintenance #FullStackDeveloper #Java #Python #PostgreSQL
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