Smart Conferencing Rooms: A Comprehensive Approach to AI-Driven Gesture and Virtual Interaction

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Rohan Yadav, Shreya Verma, Megha Dalsaniya, Aryan Ghogare, Dhanashree Wategaonkar

Abstract

The “Smart Conferencing Rooms” project is aimed at changing the interaction of users in educational and healthcare facilities through the use of artificial intelligence in hand gesture recognition and virtual communication technologies. By embedding Artificial Intelligent Hand Gesture Recognition and Virtual Communication Technologies to enhance the user interaction in education and health care these are the objectives of the “Smart Conferencing Rooms”. The goal is to create new AI/ML models for hand detection, fingertip tracking and air writing allowing for such a realization of interactions as drawing on the midair, typing, etc. , or solving mathematical problems. Further, it aims at improving more real-time interaction through the virtual chat system with better face and gesture recognition than Google Meet but with more functions. This cross-platform solution is asserted to enhance the qualities of communications and enhance collaboration and connectivity, which will be highly beneficial to these sectors.


This work is inspired from progress made in the field of object tracking which is one of the core issues of computer vision and it entails the ability to recognize and find objects like hand gestures in successive frames. It is suitable for those applications such as automatic surveillance and video recognition. By analyzing gestures the system can translate them into text which will especially be so beneficial to the deaf group of people because it helps them communicate effectively using gestures.

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How to Cite
Rohan Yadav. (2025). Smart Conferencing Rooms: A Comprehensive Approach to AI-Driven Gesture and Virtual Interaction. International Journal on Recent and Innovation Trends in Computing and Communication, 13(1), 64–75. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11435
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