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Published: 2026-03-21

Next Genric-BI ML-Based Resume Intelligence System

sreelathaprince13@gmail.com
Stanley College of Engineering and Technology for Women, Abids, Hyderabad, India
Stanley College of Engineering and Technology for Women, Abids, Hyderabad, India.
Stanley College of Engineering and Technology for Women, Abids, Hyderabad, India.
Resume Screening Machine Learning Natural Language Processing Recruitment Analytics Resume Classification Power BI Data Visualisation AI in Hiring

Abstract

Hiring’s become a real challenge these days. Companies can get hundreds of resumes for just one job, all pouring in from job boards and online platforms. Sorting through that pile by hand is exhausting—and honestly, it’s easy to make mistakes or let bias sneak in. So we built a Resume Intelligence System powered by machine learning and natural language processing to make things simpler.

Here’s how it works: the system automatically scans every resume, grabs the important stuff like skills, education, and work history, then stacks those details up against what the job actually needs. It uses a similarity score to show, at a glance, who’s the closest match for the job. And forget about staring at endless spreadsheets—the results pop up in a Power BI dashboard, with clear charts and reports anyone can understand.

With this setup, recruiters skip the dull, repetitive tasks and spend more time on real decision-making. Everything moves faster. Plus, the whole process is more consistent and fair, since we’re letting the data do the heavy lifting. In the end, it means companies find the right people, with less hassle and less risk of missing great talent.

References

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  6. Microsoft Corporation, “Microsoft Power BI: Business Analytics and Data Visualization Platform,” 2024. [Online]. Available: https://powerbi.microsoft.com

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