Paper Title
Math Problem Solver Using GENAI OPENCV

Abstract
In order to improve mathematical problem-solving, this study investigates the combination of finger tracking technologies and Large Language Models (LLMs), particularly Google Gemini. LLMs excel at natural language processing, but they are not naturally able to handle visual-spatial inputs, which are frequently essential for tasks involving math. In contrast, finger tracking technology allows people to engage with math problems in a natural way. In order to provide a more interactive and efficient tool for resolving mathematical problems, this study offers a conceptual foundation for a system that integrates the two technologies. Experimental prototypes show how this hybrid method can improve learning, increase the accuracy of problem-solving, and give users real-time feedback. Keywords - Finger Tracking, Large Language Model, Google Gemini, Math Problem Solving, Interactive Learning, AI in Education, Gesture Recognition, Human-Computer Interaction