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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP111

Voice Based Medicine Dispensing Machine

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP111

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AB

Achal Bawane1

PRN

Prof. Rahul Nawkhare2

PRD

Prof. Rupali Dasarwar3

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Abstract

Access to essential medications in remote and underserved regions remains a significant challenge due to limited healthcare infrastructure and resources. This paper presents the design and implementation of a voice and button-controlled medicine vending machine integrated with real-time stock management via the Blynk IoT platform. The system employs an ESP32 microcontroller to interface with a VC02 voice recognition module, enabling users to obtain medications by articulating common symptoms or using manual buttons. Servo motors control the dispensing mechanism, ensuring accurate delivery of medicines from designated compartments. An LCD display provides real-time feedback, enhancing user interaction. The integration with Blynk facilitates continuous monitoring and management of medicine inventory, allowing for timely replenishment and maintenance. This autonomous solution aims to bridge the healthcare accessibility gap in remote areas by providing a reliable, user-friendly, and efficient method for dispensing essential medications without the need for direct human intervention.

KEYWORDS

medicine vending machine voice recognition ESP32 IoT Blynk remote healthcare.

Cite This Article

Achal Bawane1, Prof. Rahul Nawkhare2, Prof. Rupali Dasarwar3, "Voice Based Medicine Dispensing Machine," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

5/22/2025

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Double-Blind Peer Review

Review Rounds: 2

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0

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5

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The authors declare no conflict of interest related to this research work.

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