AI tutoring platform using Groq's LLAMA3, Flask, Solidity. Path-based learning, blockchain payments, cyberpunk UI, chat history, badges.
Decentralized EtherEd AI is a decentralized, AI-driven tutoring platform that leverages blockchain technology for secure payments and progress tracking. It is powered by Groq's LLAMA3 AI and built using Python Flask and Solidity.
This platform integrates artificial intelligence and blockchain to provide personalized tutoring. It adapts to a student's learning needs, manages payments through Ethereum smart contracts, and ensures progress tracking on-chain for transparency and immutability.
Path-Based Learning Tracks
ChatGPT-Style Sidebar for Chat History
Achievement Badges & Dynamic Avatar System
Voice Input & Real-Time Leaderboard
Celebratory Confetti Animations
Futuristic Cyberpunk UI with Neon Effects
The platform uses Groq's LLAMA3 AI to generate tailored responses based on student queries and progress.
The system supports five distinct learning paths with predefined question categories:
DSA Only – Covers topics such as sorting, graphs, and dynamic programming.
Programming – Focuses on coding-related queries such as debugging and syntax.
Blockchain – Deals with topics like Ethereum, smart contracts, and decentralization.
Non-Tech Field – Includes aerospace, mechanical, and electrical engineering questions.
Random – Allows casual, non-study-related discussions.
The platform organizes lifetime chat history by learning path, enabling users to revisit past conversations in a categorized format.
Smart contracts manage tutoring session payments in ETH, store progress, award badges, and log chat history securely on Ethereum.
Chat history is stored on-chain and linked to the user's Ethereum address for indefinite access.
The platform features a neon-themed user interface with:
Holographic effects
Animated backgrounds
Glowing buttons
Smooth scrolling for a sci-fi aesthetic
Dynamic Avatar System
Voice Input
Real-Time Leaderboard
Achievement Badges
Celebratory Confetti Animations
Optional Text-to-Speech for Responses
Provides user-friendly messages to maintain a smooth learning experience, such as "Hey, this isn't a blockchain-related question!"
Adaptive AI Tutoring – Uses gamified, structured learning paths.
Blockchain-Powered Transparency – Ensures immutable tracking of progress, payments, and achievements.
Modular & Scalable – Built with Flask, Ethereum integration, and a cyberpunk UI.
Visually Striking & Technically Advanced – Combines cutting-edge AI with a futuristic design.
AI: Groq LLAMA3
Backend: Python Flask
Blockchain: Solidity (Ethereum Smart Contracts), Web3.py, Truffle
Frontend: HTML/CSS/JavaScript (Interactive UI)
Local Development: Ganache (Local Ethereum Blockchain)
The project consists of the following components:
Blockchain – Solidity smart contracts and deployment files.
Backend – Flask application handling AI queries, blockchain interactions, and configurations.
Frontend – Static frontend with cyberpunk UI elements.
Environment Variables – Stored in a .env file for security.
To set up the project, install the required dependencies:
Install Node.js and npm
Install Python 3.11 and dependencies
Install Ganache for local Ethereum blockchain development
Install Truffle for smart contract development
Clone the repository and navigate to the project directory.
Install dependencies for both the blockchain and backend.
Configure environment variables in a .env file.
Deploy the smart contract using Truffle.
Update the backend configuration with the smart contract ABI.
Start the Flask backend, which runs on http://127.0.0.1:5000/.
To use the platform:
Open http://127.0.0.1:5000/ in a browser.
Enter an Ethereum address (e.g., from Ganache).
Select a learning path.
Ask a question using text input or voice.
Choose a payment method (ETH or free).
Submit the query to receive an AI response, track progress, and earn badges.
Users can also access chat history via the sidebar and check their progress using API calls.
Introduce a custom ERC-20 token for student rewards.
Extend the platform to support multiple tutors.
Optimize chat history storage using off-chain indexing solutions.
Partner with online education platforms to offer blockchain-backed certificates.
Integrate MetaMask for real ETH transactions.
Implement NFT-based tutoring sessions for exclusive AI tutor access.
90
0