This paper is published in Volume-12, Issue-3, 2026
Area
Software Protocol
Author
Anish Araz, Piyush Raj, Niraj Shah Rauniyar, Dr. Gowthul Alam M M
Org/Univ
Jain University, Karnataka, India
Pub. Date
11 May, 2026
Paper ID
V12I3-1151
Publisher
Keywords
Centralized Resume Management System (CRMS), Structured Resume Data, Resume Standardization, JSON Resume Schema, Resume Interoperability, Applicant Tracking Systems (ATS), Resume Parsing, Dynamic Resume Generation, Persistent Resume Links, Tag-Based Resume Versioning, Resume Sharing Protocol, Professional Profile Management, Recruitment Platforms, Structured Data Exchange, Resume Data Portability.

Citationsacebook

IEEE
Anish Araz, Piyush Raj, Niraj Shah Rauniyar, Dr. Gowthul Alam M M. CentralResume: A Unified Protocol for Structured Resume Management and Interoperable Job Profile Sharing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anish Araz, Piyush Raj, Niraj Shah Rauniyar, Dr. Gowthul Alam M M (2026). CentralResume: A Unified Protocol for Structured Resume Management and Interoperable Job Profile Sharing. International Journal of Advance Research, Ideas and Innovations in Technology, 12(3) www.IJARIIT.com.

MLA
Anish Araz, Piyush Raj, Niraj Shah Rauniyar, Dr. Gowthul Alam M M. "CentralResume: A Unified Protocol for Structured Resume Management and Interoperable Job Profile Sharing." International Journal of Advance Research, Ideas and Innovations in Technology 12.3 (2026). www.IJARIIT.com.

Abstract

Creating and maintaining job profiles across multiple recruitment platforms is a redundant process. Users are often required to manually enter the same information repeatedly on those platforms, which makes it difficult to update the information later, increasing the risk of inconsistent data. Additionally, job seekers frequently maintain multiple versions of resumes tailored for different roles or industries, where only a subset of the information differs. Managing these variations manually reduces maintainability and scattered files and information. Moreover, parsing resume PDFs is inherently unreliable due to formatting variations and the lack of a standardized structure. This paper proposes a standardized protocol for maintaining a centralized repository of structured resumes that solves all the mentioned problems. The system allows users to store their professional information in a single authoritative location while enabling multiple variants of resumes tailored to specific roles or contexts using tags with minimal effort. To support interoperability across recruitment platforms and to minimize parsing issues, we introduce a standardized JSON-based schema for representing resume data, along with a sharing protocol powered by OAuth that allows recruiters and job portals to access resume information in a structured way. By eliminating the need for repeated manual data entry and unreliable document parsing, the proposed approach improves data consistency, simplifies resume management, and enables seamless integration between job seekers and recruitment platforms. It saves time by making resume sharing as easy as logging in with Google.