Enhancing Digital Trust in the Metaverse: A Framework for Real-Time Deepfake Avatar and Content Verification

The metaverse is arising as a transformative dig- ital ecosystem where druggies interact through incorporations, exchange digital means, and share in immersive conditioning. still, the rapid-fire advancement of deepfake technologies poses severe pitfalls to trust, authenticity, and stoner safety. This paper presents a real- time deepfake discovery and verification frame tai- lored for metaverse surroundings. Our proposed system combines cold-blooded deep literacy models, including CNN- RNN infrastructures and Vision Mills, with blockchain- grounded identity an- choring. The frame achieves over 92 delicacy and sub- 250 ms quiescence, enabling flawless integration into live virtual gests . This exploration aims to alleviate icon impersonation, cover against synthetic misinformation, and establish a robust foundation for digital trust in the metaverse.