Eth.Ed
AI-powered Web3 learning platform with gamified lessons, ENS-based certificates, and smart contract micropayments.
Overview
Eth.Ed is an AI-powered Web3 education platform designed to simplify Ethereum learning through structured courses, interactive lessons, wallet-based authentication, and verifiable blockchain credentials. The platform combines modern educational experiences with decentralized technologies to make learning engaging, transparent, and rewarding.
Won ENS Pool Prize at ETHMumbai 2026. Built end-to-end from architecture to deployment.
The Problem
Web3 education is fragmented across blogs, documentation, YouTube videos, and community forums, making it difficult for newcomers to follow a structured learning path. Existing platforms also lack verifiable credentials that users can truly own.
Why I Built It
Eth.Ed was built to create a structured learning ecosystem where users could progress through curated educational content while earning blockchain-based credentials that remain permanently associated with their digital identity.
Objectives
- Provide structured, progression-based Web3 curriculum
- Enable wallet-based authentication for true ownership
- Issue verifiable ENS-linked credentials on completion
- Integrate AI to personalize learning paths
- Build scalable architecture from day one
My Role
Architected and developed the platform from scratch. Built frontend and backend workflows, implemented wallet connectivity and authentication, integrated AI-assisted educational features, designed scalable APIs, and developed ENS-based certification workflows.
Architecture
Next.js App Router handles all routing with React Server Components for data fetching. Smart contracts deployed on Ethereum handle credential issuance. ENS integration links certificates to user identity. AI layer provides personalized content recommendations. Backend APIs serve course content and track progress.
Tech Stack
Frontend
Blockchain
AI & Backend
Engineering Challenges
Wallet Auth UX
Making wallet-based authentication as smooth as email login required extensive UX iteration to avoid alienating non-crypto users.
On-chain Credential Gas Costs
Balancing the cost of issuing credentials on-chain with user experience required careful contract optimization and batching strategies.
AI Content Personalization
Integrating AI recommendations without introducing latency into the core learning flow required careful async architecture decisions.
Development Process
- 01Defined product requirements and user journeys at ETHMumbai hackathon
- 02Architected smart contract structure for credential issuance
- 03Built core learning flow and progression system
- 04Integrated wallet authentication and ENS resolution
- 05Added AI-powered content recommendations
- 06Deployed contracts and submitted for ENS Pool Prize judging
Key Features
Structured Curriculum
Curated learning paths guiding users from Ethereum basics to advanced protocol concepts.
Wallet Authentication
Sign-in with Ethereum — no passwords, users own their account via their wallet.
ENS Credentials
Certificates issued on-chain and linked to ENS names, permanently verifiable.
AI Personalization
AI layer adapts content recommendations based on user progress and learning pace.
Implementation Details
The platform was fully architected and shipped within the ETHMumbai hackathon window. Contracts were deployed on testnet with mainnet migration planned post-hackathon. The ENS credential system uses resolver records to attach achievement metadata to user ENS names.
Future Improvements
- Expand curriculum to cover DeFi, DAOs, and Layer 2 ecosystems
- Mainnet credential deployment with gasless signing via relayers
- Community-contributed course modules
- Mobile app for on-the-go learning
Lessons Learned
Hackathon timelines force extremely focused product decisions — every feature needs clear justification
Wallet UX is still the biggest barrier for Web3 adoption
ENS is underutilized as an identity and credentials layer