LearNova
AI-powered, blockchain-based learning platform with token rewards.
About
Why are you participating for Based Africa? LearNova is participating in Based Africa to revolutionize education in African communities through blockchain technology. We aim to provide accessible, incentivized learning experiences that can empower individuals with knowledge and financial rewards. By leveraging Base's infrastructure, we can offer a scalable, low-cost solution that addresses educational gaps while introducing people to the world of Web3 and decentralized finance
How it's made
What challenges are you focusing on? Limited access to quality education in many African regions Lack of motivation for continuous learning High unemployment rates and limited economic opportunities Low adoption of blockchain technology and cryptocurrency in education Need for verifiable and portable educational credentials How does your submission address this challenge? LearNova addresses these challenges by: Providing an accessible platform for creating and taking AI-generated quizzes on various subjects, improving educational access. Implementing a token reward system that incentivizes learning and knowledge acquisition. Creating economic opportunities through earned tokens and the potential for users to monetize their knowledge by creating quizzes. Introducing users to blockchain technology and cryptocurrency in a practical, education-focused context. Storing quiz results and achievements on the blockchain, creating verifiable and portable educational credentials. Our platform's use of Base Sepolia (with plans to move to Base mainnet) ensures low transaction costs and high scalability, making it feasible for widespread adoption across African communities Challenges we ran into Challenges I ran into Integrating Coinbase Wallet SDK: We faced initial difficulties in seamlessly integrating the Coinbase Wallet SDK with our React application. We overcame this by thoroughly studying the documentation and reaching out to the Coinbase developer community for guidance. Optimizing AI-generated quizzes: Ensuring the quality and relevance of AI-generated quizzes was challenging. We iteratively refined our prompts and implemented a review system to improve quiz quality. Designing a fair token economy: Balancing reward distribution to incentivize both quiz creators and takers required careful consideration. We conducted extensive simulations to find an optimal model.