Example project app for solving Operations Research's machine maintenance/replacement models.
AI4I (Artificial intelligence for Industry) 2020 Predictive Maintenance using Decision Tree and Random Forest Supervised Machine Learning Classification algortihms.
An utility for a high-level machine maintenance journal
This project performs multiclass classification to identify machine failure types using a synthetic dataset with features like temperature, torque, and tool wear. It includes data analysis, feature engineering, and model training to optimize maintenance strategies and reduce downtime through predictive insights.
Backend API for Machine Maintenance – a system for managing employee attendance, machine records, maintenance reminders, and QR code generation. Provides RESTful endpoints to support frontend or mobile interfaces for industrial asset and workforce tracking.
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