2025
doi: 10.12720/jait.16.10.1388-1399
AI-Driven Voice-Controlled Cocktail Dispenser for Hygienic and Efficient Beverage Customization
Saniya Ansari1,*
,
Ankush Kadu1 ,
Kanchan Vaidya1 ,
Deshinta Arrova Dewi2 ,
Farook Sayyad3 ,
Shabnam Sayyad4 ,
Vijayakumar Varadarajan5
- 1Department of Electronics and Telecommunication Engineering, Ajeenkya DY Patil School of Engineering, Savitribai Phule Pune University, Pune, India
- 2Center for Data Science and Sustainable Technologies, INTI International University, Nilai, Malaysia
- 3Department of Mechanical Engineering, Ajeenkya DY Patil School of Engineering, Savitribai Phule Pune University, Pune, India
- 4Department of Computer Engineering, AISSMS College of Engineering, Savitribai Phule Pune University, Pune, India
- 5Department of Computer Engineering, Ajeenkya DY Patil University, Pune, India
- Manuscript receivedNovember 19, 2024
- revisedJanuary 16, 2025
- acceptedJanuary 20, 2025
- publishedOctober 14, 2025
Abstract
The conventional cocktail-making process, particularly in high-demand bar environments, often encounters difficulties maintaining speed, consistency, and catering to individual customer preferences. This study proposes a voice-controlled cocktail dispenser streamlining drink preparation through hands-free operation, improving efficiency and customization. The system utilizes voice recognition technology to interpret spoken instructions and adjust drink recipes according to user preferences. Built with a Raspberry Pi Pico microcontroller, the dispenser features peristaltic pumps for precise ingredient measurement, load cells, and temperature sensors to ensure consistent quality. Internet of Things (IoT) capabilities, supported by a Wi-Fi module, allow for real-time monitoring and remote access. The framework utilizes Automatic Speech Recognition (ASR) for voice input processing and Natural Language Processing (NLP) with Machine Learning (ML) for command interpretation and personalization. The system demonstrates performance metrics of 94.5% accuracy, 93.0% specificity, and 92.2% sensitivity, indicating its effectiveness over conventional methods. This voice-responsive dispenser offers an adaptable and scalable solution, combining automation and IoT to elevate service standards in the beverage industry.
Keywords
- Artificial Intelligence (AI)
- automatic speech recognition
- dispenser system
- Internet of Things (IoT)
- natural language processing
- real-time customization
- process innovation
- product innovation
How to Cite
Saniya Ansari, Ankush Kadu, Kanchan Vaidya, Deshinta Arrova Dewi, Farook Sayyad, Shabnam Sayyad, and Vijayakumar Varadarajan, "AI-Driven Voice-Controlled Cocktail Dispenser for Hygienic and Efficient Beverage Customization," Journal of Advances in Information Technology, vol. 16, no. 10, pp. 1388-1399, 2025. https://doi.org/10.12720/jait.16.10.1388-1399
Copyright & License
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
