International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
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Volume 17 Issue 1
January-March 2026
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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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IJSAT DOI prefix is
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