AI-Powered Gesture-Controlled Interactive System for Real-Time Mathematical Problem Solving and Visualization

Abstract

In this paper, we are working on an AI based gesture-controlled system which responses to the hand motion of user and solves computer generated mathematical problems without any need of mouse, keyboard or even getting off from their sit. Dubbed MathVision, the system uses contemporary machine learning techniques like OpenCV for detecting gestures and Google Gemini LLM technology for interpreting math equations—atop a relatively straightforward interface. A webcam or other camera captures hand movements on gestural drawings equations that are then converted into a usable format which can be interactively scrolled, deleted and confirmed by making specific gestures with the hands. A trained model to detect finger gestures when writing math expressions, with custom mathematical layers. MathVision serves as an educational software product, providing educational interactivity to a general process of problem-solving where students receive problems and can either solve mathematical exercises by hand or type their solutions. The purpose of this technology is to combine classical problem-solving approaches with the power new computational tools, so that math could be more interactive and effortless. MathVision converts visual manipulations into instant mathematical answers, and offers an interactive way to understand difficult math’s topics in a highly interactive manner. Combining gesture recognition with AI-based problem solving would change the future of our education; revolutionizing instruction and transmission of mathematical concepts across all levels.