To develop an AI-enabled synchronization engine that connects real-world IoT devices with their digital twin representations in the metaverse, enabling real-time data mapping, predictive maintenance, and simulation-driven decision support.
Study digital twin architecture and IoT integration.
Simulate sensor data acquisition.
Design AI-based predictive maintenance model.
Create real-time synchronization pipeline.
Implement dashboard for twin visualization.
Ensure secure IoT-to-metaverse data transmission.
Conduct latency performance testing.
Optimize cloud-based scalability.
Evaluate data integrity consistency.
Document system architecture.
