# Architecture Overview InterLink ID is built on a decentralized, privacy-preserving architecture that integrates **Proof of Personhood, Federated Learning, Zero-Knowledge Proofs (ZKPs)**, and **AI-driven biometric verification**. The system ensures that each user is uniquely identified without compromising privacy, leveraging blockchain-based identity management and cryptographic techniques to prevent Sybil attacks. Federated Learning allows AI models to improve collaboratively across distributed devices while maintaining data sovereignty, and ZKPs enable secure authentication without revealing sensitive information. By incorporating advanced deepfake detection and liveness verification, InterLink ID establishes a robust framework for secure and equitable digital identity verification. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://whitepaper.interlinklabs.ai/technical-implementation/architecture-overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.