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Virtual Machines (IaaS) Compute Engine (GCP), EC2 (AWS), Azure Virtual MachinesMigration/Rehosting: Move existing website infrastructure to the cloud for better control and immediate cost savings over traditional hosting. Containerization (PaaS/CaaS) Google Kubernetes Engine (GKE), Amazon ECS/EKS, Azure Kubernetes Service (AKS) Modernization/Scalability: Run complex applications (e.g., e-commerce, custom apps) with massive, automated scaling and better resource […]

Challenge Deliver low-latency, privacy-aware people and object analytics across a fleet of Raspberry Pi edge devices, with enriched demographic insights and centralized observability, while ensuring maintainability and continuous deployment. Objectives Solution Overview Technology & Methods Key Innovations Outcomes Impact Enhanced situational awareness, improved utilization insights, and scalable foundation for future analytic modules. Future Extensions Summary

Overview Imagine saying a single wake word and your car instantly listens. A client asked us to build that seamless voice activation experience. We engineered a lightweight ML model that reliably detects a chosen trigger word in natural speech and can be rapidly retrained to a new word using minimal fresh audio, reducing data collection

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