Resume-Job-Analyzer

A Python web application that analyzes resumes against job descriptions to help job seekers and recruiters identify the best match.

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Features

• Upload a resume (PDF) and paste a job description
• Extracts and compares key skills and keywords
• Calculates a match/similarity score between the resume and job posting
• Stores analysis results in a local database
• View previously analyzed results via a database viewer
• Clean HTML frontend served through Python

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Project Structure

Resume-Job-Analyzer/
├── resume_analyzer.py      # Main application — analysis logic and web server
├── tempCodeRunnerFile.py   # Auto-generated temp file (can be ignored)
├── templates/              # HTML templates for the web interface
└── README.md

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Tech Stack

Layer	Technology
Backend	Python
Frontend	HTML / CSS
Web Server	Flask (or http.server)
Storage	SQLite / local DB
NLP/ML	NLTK / scikit-learn

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Installation

Prerequisites

• Python 3.8+
• pip

Steps

1. Clone the repository

   git clone https://github.com/Prriiiyankaaa/Resume-Job-Analyzer.git
   cd Resume-Job-Analyzer

2. Install dependencies

   pip install -r requirements.txt

   If a requirements.txt is not present, install common dependencies manually:

   pip install flask nltk scikit-learn PyMuPDF

3. Run the application

   python resume_analyzer.py

4. Open in your browser

   http://localhost:5000
   

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Usage

1. Navigate to the app in your browser.
2. Upload your resume (PDF format).
3. Paste or enter the job description into the text field.
4. Click Analyze to generate your match score and keyword breakdown.

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How It Works

1. Resume Parsing — Extracts raw text from the uploaded PDF resume.
2. Keyword Extraction — Identifies relevant skills and terms from both the resume and job description using NLP techniques.
3. Similarity Scoring — Computes a cosine similarity score using TF-IDF vectorization to quantify how well the resume matches the job posting.
4. Storage — Saves results (score, keywords, timestamp) to a local database for later review.

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