PredictiveCare
Industrial AI
An enterprise-grade IoT solution for predictive maintenance of industrial machinery, featuring real-time monitoring, ML-powered failure predictions, and intelligent maintenance alerts.
Powered by Machine Learning
Enterprise-grade IoT solution combining real-time monitoring with advanced predictive analytics
Real-time Monitoring
Track machine performance and health metrics in real-time with precision IoT sensors and live dashboard visualization
Predictive Analytics
ML-powered ensemble models analyze sensor data to predict failures before they occur, enabling proactive maintenance
24/7 Intelligent Alerts
Automated notifications for critical maintenance needs with RAG-powered recommendations for optimal actions
Industrial Monitoring System
AI-driven predictive maintenance with real-time monitoring
Built With Modern Tools
Next.js 16
React framework with App Router
React 19
UI library
TypeScript 5
Type safety
Tailwind CSS 4
Styling
Framer Motion
Animations
XGBoost
Gradient boosting
LightGBM
Fast boosting
CatBoost
Categorical features
Arduino
IoT hardware
DHT Sensors
Temperature sensors
MQTT
IoT protocol
Prediction Pipeline
End-to-end machine learning pipeline from sensor data to maintenance alerts
Ensemble Model Architecture
XGBoost
Gradient boosting for structured data patterns
LightGBM
Fast gradient boosting with leaf-wise growth
CatBoost
Handles categorical features efficiently
Meta-Learner
Weighted combination of all models for final prediction with 35% weight on Tool Wear feature
Transform Your Maintenance Operations
Experience the power of predictive maintenance with real-time monitoring and AI-powered failure predictions.