Documents Archiver System with Integrated Data Analytics and Recommendation Algorithm

The Documents Archiver System with Integrated Data Analytics and Recommendation Algorithm is a stand-alone desktop application. It is intended to address the requirement for efficient digital document management in settings with poor or nonexistent connectivity. The program enables users to upload PDF and DOCX files, tag them with keywords and document titles, and save them locally and in an integrated MySQL database.
The system offers a contemporary and responsive graphical user interface and is built with JavaScript, Electron, HTML, and CSS for the front end and MySQL for the back end. This makes safe document retrieval, keyword-based search, and easy file organizing possible. To guarantee transparency and traceability, all user actions, including uploads, deletions, and searches, is recorded in real time.
Using JavaScript charting libraries, an interactive dashboard displays visual analytics using bar and pie charts that show document statistics and keyword trends. The solution is perfect for small enterprises, schools, and local government offices that need dependable document management without relying on internet connectivity because it is totally offline.

Document Archiving System, Metadata Tagging, Keyword-Based Search

1. Al-Hamami, S. A., & Ahmad, S. N. (n.d.). Metadata in multilingual news archives: A systematic review. Journal of Information Science and Technology, 3, 1–15. [Google Scholar] [Crossref]

2. Angala, D., Casugay, B. C., Estillore, H. M., & Gamido, M. V. (2023). Development and implementation of a document management system for Ilocos Sur Polytechnic State College, Tagudin Campus. Journal of Management and Business Education, 6, 161–168. [Google Scholar] [Crossref]

3. Bellotti Furtado, C. M., & Esmin, A. A. B. (2023). A hybrid recommendation system for digital libraries based on user profiles and tag interactions. Journal of Information Science. [Google Scholar] [Crossref]

4. Choudhury, S., et al. (2021). Automatic metadata extraction from scanned academic documents. International Conference on Document Analysis and Recognition. [Google Scholar] [Crossref]

5. Choudhury, S., et al. (2023). MetaEnhance: A framework for metadata quality improvement. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. [Google Scholar] [Crossref]

6. Daluyon, et al. (2023). Metadata tagging to improve retrieval efficiency in academic archives. University of Rizal System Research Journal. [Google Scholar] [Crossref]

7. Gamido, M. V., Gamido, H. V., & Macaspac, D. J. P. (2023). Electronic document management system for local area network-based organizations. International Journal of Computer Networks and Communications Security, 11, 24–30. [Google Scholar] [Crossref]

8. https://iso25000.com/index.php/en/iso-25000-standards/iso-25010 [Google Scholar] [Crossref]

9. Imwadsana, B., Chaihirunkarn, C., Jaichoom, A., & Thanaphatsiri, S. (2011). DocFlow: A document workflow management system for small office. International Conference on Information and Computer Science. [Google Scholar] [Crossref]

10. International Organization for Standardization. (2011). ISO/IEC 25010: Systems and software quality requirements and evaluation (SQuaRE) – System and software quality models. [Google Scholar] [Crossref]

11. Pacheco, A., Guardado da Silva, C., & Vieira de Freitas, M. C. (2023). A metadata model for authenticity in digital archival descriptions. Records Management Journal, 33, 273–286. [Google Scholar] [Crossref]

12. Raboy, et al. (2023). Offline archive system for local government units. Philippine Information Systems Journal. [Google Scholar] [Crossref]

13. Reyes, J., & Balagtas, R. (2023). Student record management using SQLite database. Philippine Computing Education Research Conference. [Google Scholar] [Crossref]

14. Rieger, O. Y., Schonfeld, R., & Sweeney, L. (2022). The effectiveness and durability of digital preservation and curation systems. Ithaka S+R Report. [Google Scholar] [Crossref]

15. Rios, J., & Alejandro, M. (2023). Metadata-driven search effectiveness for local institutions. Journal of Information Management Philippines. [Google Scholar] [Crossref]

16. Sevilla, et al. (2023). Digitization and metadata organization of municipal records. Journal of Local Government Technology, 6(2). [Google Scholar] [Crossref]

17. Villanueva, R. (2023). Offline digital systems for resource-constrained educational institutions. Digital Transformation Studies Journal. [Google Scholar] [Crossref]

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