Pay-Per-Help AI (Micropayment Learning)

Pay-Per-Help AI is a full-stack web application designed to make AI-powered learning more accessible through a usage-based payment model. Instead of requiring costly subscriptions, the platform allows users to ask questions and pay a small amount per query using micropayment logic inspired by USDC transactions. The system features a clean chat-based interface where users can submit academic or general questions and receive instant AI-generated responses. Before processing each query, the system checks the user’s balance and deducts a predefined micro-cost after delivering the response. This ensures transparency and real-time billing for every interaction. The application is built using React for the frontend, Node.js and Express for the backend, and integrates AI APIs for generating responses. A mock wallet system is implemented to simulate blockchain-based payments, allowing seamless demonstration without requiring real transactions. The project highlights a scalable model for AI monetization, enabling affordable access to knowledge while eliminating subscription barriers. It also demonstrates how micropayments can power future agentic economies where services are billed per use. Overall, Pay-Per-Help AI showcases the practical integration of AI and micropayment systems to create a cost-efficient, user-friendly, and scalable learning platform