International Journal on Science and Technology

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 1 January-March 2026 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.

An Integrated AI Platform for Resume Analysis, Document Generation, and Intelligent Job Matching

Author(s) Ms Siddhi Rajeshkumar Pandya
Country India
Abstract The increasing reliance on automated recruitment tools has
introduced challenges such as inaccurate filtering, loss of qualified candi-
dates, and lack of transparency in resume evaluation. This study presents
CVision, an AI-powered web-based platform designed to enhance the re-
cruitment process through intelligent resume analysis, automated docu-
ment generation, and optimized job matching. By integrating traditional
rule-based evaluation with advanced natural language processing (NLP)
and machine learning models, CVision provides a holistic assessment that
goes beyond keyword matching to interpret context, structure, and skill
relationships. The platform operates through a dual-layer architecture —
a baseline rule-based scoring engine and an AI-driven analytical layer —
both connected via a FastAPI backend and React-based frontend inter-
face. The system allows candidates to upload resumes, receive personal-
ized improvement feedback, and explore job recommendations tailored to
their profiles. In controlled evaluations on real-world datasets, CVision
demonstrated a 24% improvement in accuracy, reduced false positives
by 67%, and achieved a 19% faster processing rate compared to con-
ventional Applicant Tracking Systems (ATS). Additionally, the platform
maintained 94% compatibility across irregular document formats, high-
lighting its adaptability in real-world hiring scenarios. The outcomes of
this study showcase CVision’s ability to redefine automated recruitment
through contextual understanding and performance-driven intelligence,
paving the way for fairer and more efficient hiring ecosystems.
Keywords AI Recruitment Platform, Natural Language Processing, Resume Analysis, Job Matching, Document Generation, Machine Learning, Applicant Tracking Systems (ATS), Automation in Hiring, Web-Based Platform, Deep Learning Models, Contextual Evaluation, FastAPI, React Interface, Recruitment Intelligence, Performance Evaluation
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-01-30
DOI https://doi.org/10.71097/IJSAT.v17.i1.10243
Short DOI https://doi.org/hbmzx9

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