Gesture Recognition and Virtual Control with Voice Assistance Bot Using AI |
Author(s): |
| Harshkumar Ravindra Bhavsar , K.K Wagh Polytechnic, Nashik; Priyanka Akash Avhad, K.K. Wagh Polytechnic, Nashik; Ashlesha Shekhar Ukarde, K.K. Wagh Polytechnic, Nashik; Bhavika Atish Bhansali, K.K. Wagh Polytechnic, Nashik; Janhvi Bhausaheb Pagare, K.K. Wagh Polytechnic, Nashik |
Keywords: |
| Gesture Recognition, Voice Assistance Bot, MediaPipe Hand Detection, AI, Machine Learning, Computer Vision, Human-Computer Interaction, Natural Language Processing, Virtual Control, Contact-Free Interaction, Windows Platform, Accessibility, Real-Time Recognition |
Abstract |
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The project titled "Gesture Recognition and Virtual Control with Voice Assistance Bot using AI" aims to revolutionize human-computer interaction by creating a system that allows users to control devices using hand gestures and voice commands. This innovative approach enhances usability by eliminating the need for physical contact with traditional input devices, offering a more intuitive, seamless, and hygienic experience. The system leverages advanced AI techniques to recognize specific hand gestures and interpret voice commands, translating them into corresponding actions on digital devices. By integrating gesture recognition with a voice-assisted bot, the project enables users to interact with smart devices and applications more naturally, enhancing accessibility and convenience. The system's AI algorithms are designed to learn and adapt to different users' gestures and speech patterns, ensuring accuracy and responsiveness. Additionally, this technology holds potential applications in various fields such as home automation, healthcare, and entertainment, where touchless control is advantageous. Overall, the project contributes to the ongoing evolution of human-machine interaction, reducing reliance on physical devices while improving efficiency and inclusivity. |
Other Details |
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Paper ID: IJSRDV12I120050 Published in: Volume : 12, Issue : 12 Publication Date: 01/03/2025 Page(s): 74-75 |
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