SmartGarb: An AI-Powered Application for Predicting Garbage Collection Vehicle Arrival Time in Small Cities with Office Commute Constraints

Abstract

This research paper introduces SmartGarb, a pioneering mobile application designed to address the persistent issue of unpredictable garbage collection systems that manage vehicle arrival times in small cities, particularly affecting office commuters. Leveraging artificial intelligence (AI), Global Positioning System (GPS), and machine learning (ML), SmartGarb predicts the precise arrival time of garbage collection vehicles, enabling residents to plan their schedules more effectively and reduce inconvenience. The paper presents the development, implementation, and evaluation of SmartGarb, highlighting its potential to enhance urban waste management systems and improve the quality of life for city residents.