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.

Sneak peak at the new parnet b2b focused lander.

Propagating at a server near you.

"Parking managed as an asset" reframes the whole pitch away from operations software toward the CFO's balance sheet - the stat row backs it up with revenue and property counts, not just user numbers.