Baristax: The Coffee Selection Recommender Bot

Norfatihah Najwa Rozaini; Nor Hapiza Mohd Ariffin; Marina Yusoff

doi:10.37934/araset.42.1.180190

Authors

Norfatihah Najwa Rozaini Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Kompleks Al-Khawarizmi, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
Nor Hapiza Mohd Ariffin Faculty of Business, Sohar University, Sohar, Oman
Marina Yusoff Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Kompleks Al-Khawarizmi, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.37934/araset.42.1.180190

Keywords:

Coffee selection, Recommender system, Bot, Natural language processing

Abstract

This study aims to develop a prototype of a coffee recommender bot that uses the expert's knowledge to give its users a standardised suggestion based on their preferences. This prototype is integrated with Telegram Bot for more accessible and convenient use, as Telegram is safer than any other online communication platform. Furthermore, it uses Google DialogFlow with Natural Language Processing (NLP) tools that enable the chatbot to identify what the users want. Finally, the project is validated on students, mainly from the UiTM Shah Alam campus and a barista, to determine the usefulness and correctness of the prototype chatbot's overall performance. This initiative received evaluations from 45 students and ten baristas. The research intends to be integrated into the company's mobile application, allowing for other functionalities. As a result, coffee enthusiasts may now have customised applications to satisfy their coffee addiction.