I built ProofFace a visual provenance & content verification engine in Rust I have been building ProofFace an end-to-end visual provenance and content verification engine built in Rust. The idea is simple: Finding an image online doesn’t prove that it’s authentic, original, or unchanged. So I built a verification pipeline that goes from: 📸 Image input → 🧠 Neural face detection → 🔎 Web visual discovery → 🧬 Biometric similarity → 🔐 Deterministic SHA-256 fingerprinting → ⛓️ Polygon Amoy blockchain proof → ✅ Verification result Some of the things I worked on: • ONNX-based face detection • 128-dimensional biometric embeddings • Presentation attack detection • Parallel visual candidate evaluation • Cosine similarity matching • RFC 8785 JSON canonicalization • SHA-256 content fingerprinting • Polygon smart-contract integration • Automated unit & integration testing The project currently has 30 passing tests. What I enjoyed most was bringing several different areas together computer vision, Rust systems programming, cryptography, and blockchain into one reproducible verification workflow. GitHub: https://github.com/nikhilkumarpanigrahi/proofFace Would love to hear what you’d improve or add to a system like this.

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Nikhil Kumar Panigrahi

Backend & Web Developer | APIs, AI & Automation