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@article{170600,
        author = {S. RAMPRASANTH and Mr. D. RAJESH and V RAM KUMAR and S HARIPRASAAD and AADITHYA P},
        title = {GESTURE ANALYSIS IN ONLINE MEETING USING ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1030-1034},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170600},
        abstract = {This project presents the integration of a finger-counting analysis feature into a web application to enhance user interaction. By leveraging machine learning and computer vision techniques, our system detects and interprets finger-count gestures in real-time. The lightweight, client-side application communicates with the meeting platform via a secure API. We also discuss development challenges and propose solutions, highlighting the potential of this feature to bridge the gap between physical and digital meeting experiences.},
        keywords = {finger-counting analysis, web application, machine learning, computer vision, real-time gesture detection, client-side application, secure API, digital meeting experiences, user interaction, meeting platform.},
        month = {December},
        }