This research introduces a groundbreaking framework that preserves user privacy while delivering personalized AI advice through zero-knowledge proof technology.

Key Innovations:

• Integration of zero-knowledge proofs (ZKP) with LLM-powered chatbots enables personalization without exposing sensitive data
• zkVM technology allows verification of user information while maintaining complete data privacy
• Particularly valuable for finance, healthcare, and interpersonal advice applications
• Demonstrates how AI systems can follow data minimization principles without sacrificing personalization

Business Impact: This approach solves a critical security challenge in AI adoption by enabling companies to offer highly personalized services while maintaining regulatory compliance and building user trust through provable privacy protections.

Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs