Once the models are trained and validated, the deployment of the system can be achieved through various strategies. A cloud-based deployment can provide scalability and accessibility, allowing users to access the monitoring system from different locations. Alternatively, an onpremises deployment may be preferred for organizations with specific data security requirements. The system can be integrated into existing industrial monitoring frameworks, providing real-time insights directly to operators through user-friendly dashboards.