Smart Waste Mobile: AI Chatbot and Voice Assistant for a Waste Collection Application
DOI:
10.33395/sinkron.v10i3.16369Keywords:
AI Chatbot; Mobile Application; Smart City; Voice Assistant; Waste ManagementAbstract
Efficient and inclusive waste management is a fundamental component of modern smart city initiatives, yet existing Internet of Things-based mobile application systems for waste management frequently lack accessible interfaces, creating barriers particularly for elderly users and individuals with limited digital literacy. This research aims to design and implement a mobile application for waste collection integrated with a text-based artificial intelligence chatbot and a voice assistant powered by large language model technology, targeting elderly users and those with low digital literacy as primary beneficiaries. The system was developed using the Flutter framework following an iterative software development life cycle approach, with the chatbot and voice assistant integrated through a RESTful backend application programming interface. Functional verification used black-box testing across five core modules, and performance evaluation measured response latency across 30 automated trials per modality. All core modules passed functional testing: the text-based chatbot achieved an average response latency of 1.45 seconds, while the voice assistant recorded an average of 7.72 seconds due to sequential speech-to-text and text-to-speech processing layers. This multimodal integration successfully bridges operational logistics with an inclusive interface for smart city waste management, demonstrating that artificial intelligence can significantly reduce procedural barriers and improve accessibility for diverse demographic groups.
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Copyright (c) 2026 Jonathan Hutabarat, Marlince NK Nababan
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