AI Resume Analyzer Using RoBERTa - Match Your Resume to Job Descriptions with Skill Gap Analysis
In today's job market, resumes need to be tailored to each job. This AI Resume Analyzer automates that process using semantic matching, allowing job seekers to upload their resume and see how well it matches a given job description -- just like a recruiter might do using an ATS (Applicant Tracking System).
What This Project Does
Upload any PDF resume
Paste the job description
AI calculates a semantic match score using RoBERTa
Shows you:
Matched skills
Missing keywords
Smart improvement suggestions
Clean, modern UI built with Tailwind CSS
AI model info shown for credibility
How It Works
This tool uses RoBERTa (stsb-roberta-large) from the SentenceTransformers library. Unlike simple keyword matching, it evaluates how well your resume matches the meaning of the job description.
We also use a Named Entity Recognition (NER) model to extract skills and experience from the resume, and compare it with the JD to identify skill gaps.
Why It's Better Than Keyword Matching
Traditional resume checkers just look for exact matches. But this tool understands:
Synonyms (e.g. "REST API" vs "backend service")
Job roles vs responsibilities
Skill clusters
That's why it's ideal for students, job seekers, or HR teams who want deeper, smarter analysis.
Tech Stack
| Component | Tech Used |
|---|---|
| Frontend | Tailwind CSS, HTML, Jinja2 Templates |
| Backend | Flask (Python) |
| PDF Parsing | PyMuPDF |
| NLP Model | RoBERTa (stsb-roberta-large) |
| Skill Extraction | Transformers NER Model |
| Suggestions Engine | Rule-based system |
Download Source Code
Download Resume Analyzer with AI Matching
Includes full project: Code + HTML + Models + Suggestions Engine
Demo Video
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https://drive.google.com/file/d/1Qv5EWdfmawvhqtiw7-dXLg3zL1MzESdu/view?usp=sharing