ProofLearn- Prove Your Skills On-Chain

ProofLearn: The AI-Powered On-Chain Reputation Protocol

ProofLearn is a decentralized Learning Management System (LMS) designed to replace unverifiable resumes with cryptographic truth. Traditional certificates are easy to fake and centralized; ProofLearn builds an immutable "On-Chain Resume" backed by Soulbound Tokens (SBTs) and a robust reputation protocol.

How It Works: Users authenticate securely via Sign-In With Ethereum (SIWE) to prevent identity spoofing. They browse a marketplace of technical missions (e.g., "Deploy a Smart Contract") and submit proof of work. Unlike simple automated checkers, ProofLearn uses a Human-in-the-Loop verification system where experts review submissions via a dedicated Curator Dashboard.

Key Innovations:

• 🧠 AI Learning Assistant: Integrated with Groq & Llama 3, our real-time AI agent guides users through complex tasks, providing instant, context-aware support.

• 📊 Dynamic Skill Graph: A futuristic Radar Chart visualizes a user's expertise (e.g., Solidity, React, DeFi) in real-time. As users complete missions, their "stats" level up on-chain.

• 🎮 Gamification: Users earn XP, level up, and unlock reputation tiers, making learning addictive and rewarding.

• 🛡️ Soulbound Credentials: Verified achievements are minted as non-transferable NFTs on the Sepolia testnet, creating a permanent, tamper-proof record of skills.

Tech Stack: The platform features a premium React 18 frontend with Glassmorphism UI and Framer Motion animations. The backend utilizes Node.js/Express and MongoDB for off-chain metadata, synchronized with Solidity smart contracts for on-chain trust. A dedicated Python Microservice powers the AI layer.

ProofLearn demonstrates a complete, production-ready Web3 application that bridges the gap between learning and professional verification—empowering developers to truly own their skills

During the hackathon, the project progressed from initial concept to a fully functional Web3 application. The development began with designing the core smart contract logic for on-chain skill certification using Solidity. The contract was implemented, tested, and successfully deployed on the Ethereum Sepolia testnet.

In parallel, a React-based frontend was developed to provide a clean and user-friendly interface. MetaMask wallet authentication and blockchain interaction were integrated using ethers.js, enabling users to connect their wallets, interact with the smart contract, and trigger on-chain transactions.

The task completion and certificate issuance flow was implemented end-to-end, ensuring that user actions on the frontend correctly resulted in verifiable on-chain records. Multiple test transactions were executed to validate contract functionality, gas usage, and frontend stability.

Finally, the project was documented, deployed locally for testing, and prepared for public demonstration with screenshots, a demo video, and a GitHub repository. The focus throughout the hackathon was on building a real, working product with clean architecture and transparent on-chain logic rather than a conceptual prototype.

Not fundraising