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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Duplicate File Remover with Smart UI

Authors: Sabitha K; Akashshankar M; Haakish VP; Manoj S; Manoj S;

Duplicate File Remover with Smart UI

Abstract

Duplicate files are prevalent in today's computer systems, particularly when users deal with large amounts of data through downloads, backups, file transfers, or content editing. Not only do these duplicates take up precious storage space, but they also clog directories, slow down productivity, and can cause confusion or the use of old files. Identifying and deleting duplicate files manually can be time-consuming, error-prone, and tedious. This project offers a complete solution via a Python application with a smart, intuitive Graphical User Interface (GUI) crafted with Tkinter. The program scans directories efficiently, recursively examines file content via size filters and MD5 hash comparison, and correctly detects duplicates irrespective of filename or metadata. It offers users several management choices such as selective deletion and overall cleanup of duplicate files. Moreover, it also features a lively, user-friendly interface with contemporary UX concepts to make it accessible both for technical and non-technical users. This utility optimizes system performance, enriches data organization, and offers a safe method of conducting digital hygiene with ease.

Keywords

Duplicate Files, Python, Tkinter GUI, Message-Digest Algorithm (MD5), File Management, User Interface (UI), User Experience (UX), File Deletion, Data Cleaning, Hash Comparison, File Detection, Automation, Graphical Application, Digital Hygiene

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    citations
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    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.
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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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citations
The total number of citations received by all articles of the researcher of interest.
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