Master's Thesis: Predictive Maintenance Tool & Machine Learning

In context of my master's thesis, I've implemented a web application, which connects to IOT-based machine sensors, collect and store time-based data, train machine-learning models on it and detects abnormal sensor data automatically.

I was responsible for designing and implementing the whole system, including e.g.:

Software Architecture Concept

Real-time Sensor Data Integration (OPC UA)

Time-base Data Storage Modelling (Redis)

Backend Development (Node.js)

Machine Learning Integration (Node.js)

UI/UX Design

Frontend Development (AngularJS)

Docker based Deployment

Scientific Research & Documentation