A system for ai-powered interactive learning of microcontroller pin functions

Abstract

The present invention is related to a system for AI-powered interactive learning of microcontroller pin functions. The system presents a user with an interactive visual representation of a microcontroller, such as an SVG image, containing clickable hotspot regions corresponding to the board's pins. Upon receiving coordinates from a user's click on a hotspot, a backend server references a corresponding JSON data file to identify the specific pin and retrieve its associated attribute data. This data is then displayed to the user. The system further comprises an AI-powered chat tutor. When the user submits a query, the system provides the selected pin's data as context to the AI service, enabling the AI to generate structured, relevant, and multi-layered educational responses. By integrating direct visual interaction with a context-aware AI, the system overcomes limitations in prior art by providing a guided, interactive, and safe learning experience for students of IoT and electronics.