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@article{178410,
        author = {BADAM BALAJI and AEMME RAKESH and BADDALA SURYA KUMAR and Mr. S. Bala Krishna},
        title = {AI CHATBOT FOR AUTOMATED CUSTOMER SUPPORT USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3314-3318},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178410},
        abstract = {This paper presents the development of a multimodal AI chatbot system that integrates speech recognition, text-to-speech synthesis, and real-time object detection using YOLOv5, all deployed on a Raspberry Pi 4 platform. Designed to operate offline, this chatbot enables natural, context-aware interaction with users by combining visual and audio input. It supports applications in educational, customer service, and assistive environments where internet access may be limited. The system responds to voice commands, provides voice feedback, and recognizes physical objects via camera input, offering an interactive and intelligent experience.},
        keywords = {AI Chatbot, Raspberry Pi, Speech Recognition, YOLOv5, Object Detection, Offline Chatbot},
        month = {May},
        }