Baristax: The Coffee Selection Recommender Bot

• Published in: Journal of Advanced Research in Applied Sciences and Engineering Technology
• Main Author: Rozaini N.N.; Ariffin N.H.M.; Yusoff M.
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188988456&doi=10.37934%2faraset.42.1.180190&partnerID=40&md5=2c5bff9c5bbb8ba90d22f30b8ee9544e

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. © 2024, Semarak Ilmu Publishing. All rights reserved.