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


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