Gesture Math AI: Real-Time Math Problem Solving Using Hand Gestures and Computer Vision

Abstract

GestureMath AI is an innovative math-solving platform that utilizes hand gesture recognition and computer vision to create a touch free, interactive educational experience. By using a webcam, the system monitors finger movements with technologies like OpenCV, MediaPipe, and CvZone, enabling users to draw mathematical equations in the air. These gestures are captured and projected onto a virtual canvas through NumPy, then transformed into an image with the Python Imaging Library (PIL). The image is then sent to the Google Gemini API, which comprehends and solves the equation with the help of its generative AI technology. Results are promptly displayed through an intuitive interface developed with Streamlit. GestureMath AI improves digital education by removing the reliance on traditional input methods, making mathematical interaction more natural and accessible. This makes it especially beneficial in smart classrooms, remote learning environments, and augmented or virtual reality (AR/VR) settings. By merging gesture recognition, computer vision, and sophisticated AI reasoning, this system presents a cutting-edge, engaging, and accessible approach to math education in digital learning frameworks.