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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Garbage Pickup Reminder System

Authors: Arpitha H M, Anjana M N, Arpita H P and Archana V;

Garbage Pickup Reminder System

Abstract

ABSTRACT Effective solid waste management is essential in today's urban and semi-urban areas. Irregular waste disposal and a lack of awareness about daily garbage collection schedules can lead to unhygienic conditions and poor waste segregation. This paper presents a Smart Garbage Pickup Reminder System created in Java. This system helps users identify daily waste collection types and track the amount of waste generated. The system sends automated reminders based on the day of the week, informing users whether wet, dry , or recyclable waste will be collected. Users can also record daily waste amounts, view saved waste records, and produce weekly summaries. Data is stored reliably through Java object serialization, which keeps records intact across multiple uses of the application. The proposed console application shows how straightforward software can enhance waste management awareness at the household or community level. It is user-friendly, dependable, and suitable for educational and small-scale practical applications. Keywords: Garbage management, Java application, waste reminder system, serialization, sustainable living

Keywords

Garbage management, Java application, waste reminder system, serialization, sustainable living

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green