ATS Resume Scanner

AI-Powered Intelligent Recruitment System

Features

• Resume Parsing: Extract text from PDF, DOCX, and TXT files
• ATS Scoring: Intelligent scoring based on keyword matching, skills, experience, and education
• Job Matching: Find candidates matching specific job requirements
• Analytics Dashboard: View recruitment statistics and score distributions
• Database Management: Store and manage candidate data

Installation

1. Install Python dependencies:

pip install -r requirements.txt

2. Download spaCy model:

pip -m spacy download en_core_web_sm

Usage

Run the application:

streamlit run app.py

System Components

1. Resume Parser (resume_parser.py)

   • Extracts text from various file formats
   • Identifies name, email, phone, skills, experience, and education

2. ATS Scorer (ats_scorer.py)

   • Calculates comprehensive ATS scores
   • Uses TF-IDF and cosine similarity for keyword matching
   • Evaluates skills, experience, and education relevance

3. Database (database.py)

   • SQLite database for storing resume data
   • Analytics and reporting functions

4. Main Application (app.py)

   • Streamlit web interface
   • Multi-page navigation
   • Interactive dashboards

Scoring Algorithm

The ATS score is calculated using weighted components:

• Keyword Matching (40%): TF-IDF cosine similarity
• Skills Matching (30%): Direct skill keyword matching
• Experience Relevance (20%): Years of experience evaluation
• Education Relevance (10%): Educational background matching

Pages

1. Upload Resume: Upload and analyze individual resumes
2. Job Matching: Find candidates matching job descriptions
3. Analytics: View recruitment statistics and trends
4. Database: Manage stored resume data