What question did this study set out to answer?

To develop an AI-driven multimodal web application that automates candidate selection in high-volume job recruitment through document layout analysis and semantic resume ranking.

August 16, 2026Open Access

AI – Based Multimodel Resume Ranking Web Application for Large Scale Job Recruitment

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Authors

DTDULLA RAVI TEJA DRDr.GADI. HARITHA RANI

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Implication

System evaluation demonstrates automated layout-aware parsing and hybrid semantic ranking across diverse resume formats, indicating improved efficiency for high-volume recruitment.

Key Points

To develop an AI-driven multimodal web application that automates candidate selection in high-volume job recruitment through document layout analysis and semantic resume ranking.
Integrated YOLOv9 for segment detection, EasyOCR for optical character recognition, GLiNER for named entity recognition, and fine-tuned multilingual BERT (mBERT) for text classification across PDF and DOCX formats.
Implemented a hybrid ranking pipeline combining dense vector embeddings (gte-large-en-v1.5) and cosine similarity with BM25 keyword matching for semantic relevance scoring against job descriptions.
YOLOv9 achieved a mean Average Precision (mAP) of 0.84 on a custom-developed dataset for resume segment detection.
The integrated pipeline successfully extracted candidate entities from variable document layouts and provided automated rank ordering based on contextual job criteria.

Cite This Study

TEJA et al. (2026) studied this question.

synapsesocial.com/papers/6a8179cbf2fb91fc834ad31b https://doi.org/10.5281/zenodo.21934571

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Implication

System evaluation demonstrates automated layout-aware parsing and hybrid semantic ranking across diverse resume formats, indicating improved efficiency for high-volume recruitment.

AI – Based Multimodel Resume Ranking Web Application for Large Scale Job Recruitment

Discussion

Member takes

Implication

Key Points

Cite This Study

AI – Based Multimodel Resume Ranking Web Application for Large Scale Job Recruitment

Discussion

Member takes

Implication

Key Points

Cite This Study

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