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@article{205893,
        author = {Prathamesh Popat Jagdale and Rushikesh Sanjay Kale and Om Amol Jadhav and Prof. Prachi Waghmare and Prof Deepmala Chaudhary},
        title = {Gesture and Voice Smart Assistant},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {9149-9156},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205893},
        abstract = {In the modern digital landscape, the limitations of traditional input devices like keyboards and mice have highlighted the need for more intuitive human-computer interaction. This paper presents a Gesture and Voice Smart Assistant designed to facilitate hands-free control of digital systems and IoT devices. By integrating Media Pipe-based gesture recognition with Google Speech-to-Text technology, the system enables users to execute commands through natural movements and speech. Testing shows high performance, with gesture recognition achieving up to 97% accuracy and voice recognition reaching 98% in optimal conditions. The assistant provides a scalable, accessible solution for users with physical disabilities or those in hands-free environments.},
        keywords = {Artificial Intelligence, Multimodal Interaction, Gesture Recognition, Voice Recognition, Computer Vision, Media Pipe, Human-Computer Interaction.},
        month = {June},
        }