Self-Evolving AI Digital Twin of Human Behavior in Metaverse

To design an AI-powered digital twin that replicates user behavior patterns, communication styles, and decision-making processes within a metaverse platform, enabling autonomous participation in meetings and simulations even when the user is offline.

Study digital twin architecture concepts.

Collect user interaction behavior data (simulated).

Train reinforcement learning models.

Develop personality modeling engine.

Implement autonomous decision simulation.

Integrate speech synthesis system.

Ensure user consent-based activation.

Evaluate prediction accuracy.

Implement secure user control override.

Prepare behavioral analysis report.