Smart Predictive Maintenance – Project Update
Smart Predictive Maintenance is an early-stage AI innovation concept inspired by over 20 years of practical experience in mechanical maintenance.
The project aims to help maintenance teams identify early warning signs of equipment failures by analyzing temperature, vibration, and pressure data from industrial pumps and machinery.
I am currently exploring the development of a functional prototype using Python, NVIDIA AI technologies, and Nebius Cloud.
I am also looking for collaborators with experience in AI, machine learning, cloud infrastructure, and software development.
Current status: Concept development. The functional prototype has not yet been built or tested.
My goal is to transform real-world maintenance experience into a practical AI-powered solution that improves equipment reliability, safety, and operational efficiency.
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