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@article{172755,
        author = {Rubana Khan and Rishikesh Vishrojwar and Aryan Meshram and Shruti lande and Prit Ukey and Shrutik Nandeshwar},
        title = {HAND GESTURE RECOGNITION MATH SOLVER USING COMPUTER VISION AND GENRATIVE AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {741-743},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172755},
        abstract = {This is a new method of solving mathematical problems using hand gestures. The system enhances human-human communication with mathematics using advanced technologies such as computer vision, machine learning, and artificial intelligence. It uses modern technologies such as OpenCV, MediaPipe, and Google Gemini AI to effectively solve mathematical problems via simple hand gestures. Test results indicate better performance, with 95.6% accuracy in detecting static gestures, 92.3% for dynamic gestures, and an 89.4% success rate in equation interpretation. This research enhances human-computer collaboration, simplifies the use of technology, and facilitates new learning paradigms by providing a new method of solving mathematical problems interactively.},
        keywords = {Gesture Recognition, Computer Vision, Generative AI, Mathematical Problem-Solving, Human Computer Interaction, Accessibility Technology},
        month = {February},
        }