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VulnGuard AI - Smart Contract Vulnerability Scanner
VulnGuard AI is an AI-powered smart contract security auditing platform that
automatically detects vulnerabilities, security risks, and code quality issues
in blockchain smart contracts.
The platform leverages machine learning to identify patterns across thousands
of contracts and provide actionable security recommendations. Built with Python,
LLMs, and production-grade backend APIs for Web3 integration.
Key Features:
Automated vulnerability detection
Machine learning-based pattern recognition
Real-time security scanning
Detailed risk reports with remediation guidance
EVM-compatible blockchain support
API integration for developer workflows
This project demonstrates full-stack expertise in AI/ML, backend systems,
blockchain security, and product development.
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Join 1.25M professional creatives like you
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Thank you so much for Margadarsi Infra for this opportunity🎉
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Its a wow design!
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
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Some of the things I worked on:
• ONNX-based face detection
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• Parallel visual candidate evaluation
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What I enjoyed most was bringing several different areas together computer vision, Rust systems programming, cryptography, and blockchain into one reproducible verification workflow.
Would love to hear what you’d improve or add to a system like this.
OneVerse AI OS is coming ...under development, will change the original world
