Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

AUTODOX - An Easy Personalized File Synchronizing System

Authors
M. Sadhana Sri1, E. S. Rithika2, *, M. Selvi3, R. Yogitha4, G. Kalaiarasi5, L. K. Joshila Grace6
1Sathyabama Institute of Science and Technology, Chennai, India
2Sathyabama Institute of Science and Technology, Chennai, India
3Sathyabama Institute of Science and Technology, Chennai, India
4Sathyabama Institute of Science and Technology, Chennai, India
5Sathyabama Institute of Science and Technology, Chennai, India
6Professor, Sathyabama Institute of Science and Technology, Chennai, India
*Corresponding author. Email: rithi0423@gmail.com
Corresponding Author
E. S. Rithika
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_86How to use a DOI?
Keywords
AUTODOX; Flutter; Supabase; File Synchronization; Intelligent File Management; Machine Learning; Cloud Integration; Supabase Storage; Automation; Cross-Platform Desktop Application; Adaptive Learning; Smart File Organization
Abstract

AUTODOX is a cross-platform desktop application designed to remove the burden of manual file organization through personalized, intelligent automation. Rather than relying on fixed sorting rules, the system observes how individual users interact with their files and continuously refines its behavior to match those patterns. Built using Flutter for the user interface and Supabase as the backend infrastructure, AUTODOX delivers a consistent, responsive experience across Windows, macOS, and Linux environments. During initial setup, users define their preferred file categories such as documents, images, or videos. From that point forward, an embedded machine learning module monitors usage patterns, including file access frequency and metadata, and applies that knowledge to automate sorting and placement decisions. The system grows more accurate over time, gradually reducing the need for user intervention. In the early stages, AUTODOX may prompt users to confirm certain actions, but it progressively transitions to independent operation as confidence in its predictions increases. Supabase serves as the system's backbone, handling real-time file tracking, secure cloud storage, and user authentication. Files can be synchronized locally, backed up to the cloud, or both, with all storage managed centrally through Supabase. An event-driven architecture ensures that changes such as new files, edits, or deletions are detected and acted upon immediately. The modular design keeps the application lightweight, enabling it to run unobtrusively in the background without impacting overall system performance. In summary, AUTODOX combines adaptive machine learning with real-time cloud integration to deliver a smarter approach to file management. By learning from the user rather than imposing fixed workflows, it transforms file organization into an automatic, personalized process, freeing users to focus on their work rather than their folder structures.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_86How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - M. Sadhana Sri
AU  - E. S. Rithika
AU  - M. Selvi
AU  - R. Yogitha
AU  - G. Kalaiarasi
AU  - L. K. Joshila Grace
PY  - 2026
DA  - 2026/06/16
TI  - AUTODOX - An Easy Personalized File Synchronizing System
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 882
EP  - 905
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_86
DO  - 10.2991/978-94-6239-693-7_86
ID  - Sri2026
ER  -