cvz 0.1.6

ATS Resume Analyzer CLI

cvz — ATS Resume Analyzer CLI

A fast command-line tool that scores resumes against job roles using keyword matching, semantic similarity, and structural analysis. Supports PDF, DOCX, and TXT files.

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Installation

pip install cvz

Or install from source:

git clone <repo>
cd cvscan
pip install -e .

Requires Python 3.9+

Download the spaCy model for semantic scoring (recommended):

python -m spacy download en_core_web_md

If not installed, semantic scoring is automatically skipped with a warning — all other features work normally.

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Usage

Analyze a resume against a role

cvz analyze resume.pdf --role backend

Auto-detect the best matching role

cvz analyze resume.pdf

Analyze against a custom job description

cvz analyze resume.pdf --jd "python django rest api postgresql"

Export the report to JSON

cvz analyze resume.pdf --role devops --export report.json

Suggest the best-fit roles for a resume

cvz suggest-role resume.pdf
cvz suggest-role resume.pdf --top 10

Gap analysis — see strengths and missing skills

cvz gap resume.pdf --role machine_learning
cvz gap resume.pdf --role backend --export gap.json

Compare multiple resumes

cvz compare r1.pdf r2.pdf r3.pdf
cvz compare r1.pdf r2.pdf --role frontend --export compare.json

List all supported roles

cvz roles

Show version

cvz --version

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Scoring

Each resume is scored across three dimensions:

Metric	Weight	Description
Keyword	50%	Matches core (70%) and secondary (30%) role keywords
Semantic	30%	spaCy cosine similarity between resume and role keywords
Structure	20%	Presence of standard sections + resume length

Score thresholds:

Score	Rating
>= 75%	Great match
50-74%	Decent match
< 50%	Low match

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Supported Roles

Role	Role
backend	frontend
full_stack	software_engineer
data_scientist	data_analyst
machine_learning	ai_engineer
devops	cloud_engineer
android	ios
cybersecurity	qa_engineer
product_manager	ui_ux_designer
blockchain	embedded_systems

Run cvz roles for the full list. Role keyword sets are defined in src/cvscan/data/roles.json and can be extended.

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Supported File Formats

Format	Parser
.pdf	pdfplumber
.docx	python-docx (includes table extraction)
.txt	built-in

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Dependencies

typer
rich
pdfplumber
python-docx
spacy
scikit-learn

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Project Structure

cvscan/
├── src/
│   └── cvscan/
│       ├── main.py                 # CLI commands (Typer)
│       ├── data/
│       │   └── roles.json          # Role keyword definitions
│       ├── engines/
│       │   ├── keyword_engine.py   # Keyword-based scoring
│       │   ├── spacy_engine.py     # Semantic similarity scoring
│       │   └── structure_engine.py # Resume structure scoring
│       ├── parser/
│       │   ├── pdf_parser.py       # PDF text extraction
│       │   └── docx_parser.py      # DOCX text extraction (incl. tables)
│       └── utils/
│           ├── loader.py           # File + role data loading
│           ├── cleaner.py          # Text normalisation
│           └── scorer.py           # Shared scoring helpers
├── pyproject.toml
└── requirements.txt

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Author

Anik Chand