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@article{176052,
author = {Kandregula Nuraj Mani Sai and Dr. D. Sirisha and E Sampath Kumar and K Kartheek and G Sujeevan Rao and B Akshay Kumar},
title = {Voice-Activated and Gesture-Controlled Intelligent Chatbot with Integrated Task Automation},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {11},
pages = {5116-5122},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=176052},
abstract = {As technology progresses, advanced HCI subclasses such as multimodal systems impact and improve usability and accessibility. This paper introduces a new type of Voice-Activated and Gesture-Controlled Intelligent Chatbot with system automation features. It seeks to mitigate the problems posed by the conventional single-modal interaction systems. The suggested model implements a hybrid execution strategy using both voice and hand command modulations. System controls such as media playback, volume adjustment, file management, and window operations serve as functionalities of a user-friendly system. For real time hand gesture recognition, MediaPipe is used. SpeechRecognition captures voice input and processes them, while context-aware responses are provided by Google Gemini AI. Experiment validation reveals the proposed model performs well with a gesture recognition accuracy of 99.2%, AI response accuracy of 98.5%, and voice recognition accuracy of 97.1%. In comparison to other systems, this one stands out because of its hybrid execution, versatility, and real time capabilities. This model facilitates total hands-free command control for smart environments and is ideal for accessibility and automation technology, broadening the scope of interaction within the realm of intelligent environments},
keywords = {Gesture Recognition, Voice-Activated Chatbot, AI Chatbot, System Automation, Human-Computer Interaction (HCI), MediaPipe, Speech Recognition, Google Gemini AI, Hybrid Execution Model, Smart Systems.},
month = {April},
}
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