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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 8 | Month- August 2026

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  Authors

MERINA JALADI,RACHARLA HRUTHIKA,D SHIVA KARTHIK GOUD,CH BHARGAVI,KANDIRIGALA RAJENDAR

  Keywords

AI-Based Help Desk Robot, ESP32-CAM, Face Recognition, Voice Recognition, Human-Robot Interaction, Embedded Systems, Customer Service Automation, ESP32, OLED Display, PIR Sensor.

  Abstract


Intelligent service robots are being increasingly deployed in commercial and institutional settings to improve customer satisfaction and reduce operational costs. In this paper we present the design and development of a low-cost AI based HelpDesk Robot that provides independent client support through multimodal interaction. For customer identification, the system is equipped with a PIR motion sensor, an OLED display for visual feedback, and an ESP32 microcontroller for system control. It also includes an AI Thinker VC-02 voice module for offline speech recognition and speech synthesis and an ESP32-CAM module for real time face recognition. The PIR sensor activates the system when a client approaches, the ESP32-CAM identifies the visitor using facial recognition and the speech module allows natural language interaction to answer commonly asked queries by using a locally stored knowledge base. The robot ensures that communication is accessible and user-friendly by providing synchronised text and voice responses. The proposed architecture reduces the manual intervention thereby providing continuous availability of the services and improving user interaction, thus ensuring low deployment and maintenance costs. The experimental implementation demonstrates reliable client detection, accurate face recognition, responsive voice interaction, and effective real-time system performance. The proposed system, thanks to its modular and scalable design, can be deployed in hospitals, schools, retail centers, corporate offices, banks, and other public service settings where intelligent automated help is required.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2501925

  Paper ID - 312133

  Author type - Indian Author

  Page Number(s) - h979-h989

  Pubished in - Volume 13 | Issue 1 | January 2025

  DOI (Digital Object Identifier) -    https://doi.org/10.56975/ijcrt.v13i1.312133

  No Of Downloads - 67

  Author Country - India, 505236, metrostation, metrostation, 505236, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2501925

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2501925

  Published Paper PDF Downlaod: - download.php?file=IJCRT2501925

  Cite this article

MERINA JALADI,RACHARLA HRUTHIKA,D SHIVA KARTHIK GOUD,CH BHARGAVI,KANDIRIGALA RAJENDAR,   "MULTIMODAL INTENT RECOGNITION (VISION + VOICE) FOR FIXED HELP DESK BOTS IN PUBLIC SPACES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.h979-h989, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501925.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

IJCRT is Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | Impact Factor: 7.97 and Monthly-Peer-reviewed, and Refereed Journals.
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