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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40772

Intellisearch - Intelligent Employee Data Access System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40772

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40772

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AJL

Amarnath J L

Ak

Ayesha khanum

ATHN

Asmi Tanzaen H N

KVS

K Venkat Sai

KAP

K A Prajwal

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Abstract

The IntelliSearch Intelligent Employee Data Access System leverages advanced machine learning (ML) and natural language processing (NLP) techniques to modernize employee information retrieval. Designed to address inefficiencies in traditional manual methods, IntelliSearch provides secure, real-time responses to queries about roles, attendance, salaries, and performance metrics. Its modular architecture integrates with existing databases, offering robust data security through encryption and role-based access control (RBAC). By streamlining repetitive tasks and enhancing query accuracy, the system fosters organizational productivity and employee satisfaction. Future enhancements include predictive analytics, advanced performance tools, and industry-specific adaptations, paving the way for scalable, intelligent solutions in employee management

KEYWORDS

IntelliSearch Machine Learning Natural Language Processing Employee Data Management Role-based Access Control Data Security Organizational Efficiency Real-time Queries Scalable Architecture.

Cite This Article

Amarnath J L, Ayesha khanum, Asmi Tanzaen H N, K Venkat Sai, K A Prajwal, "Intellisearch - Intelligent Employee Data Access System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40772

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Publication Date

1/15/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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