🚀 AI-Powered Resume Screening Tool

An intelligent resume screening application that uses Natural Language Processing (NLP) to automatically parse, analyze, and rank resumes based on job descriptions.

Where to see: https://sid-ai-resume-analyzer.streamlit.app/

🎯 Features

• PDF Resume Parsing: Extracts text and information from PDF resumes
• NLP-Powered Matching: Uses TF-IDF vectorization and cosine similarity
• Skill Extraction: Automatically identifies technical skills and keywords
• Experience Analysis: Evaluates years of experience
• Interactive Web Interface: Built with Streamlit
• Export Functionality: Download results as Excel or CSV files
• Visual Analytics: Score distribution charts and detailed candidate cards

🛠️ Tech Stack

• Python 3.8+
• Streamlit - Web interface
• spaCy - Natural language processing
• scikit-learn - TF-IDF vectorization and similarity calculation
• PyPDF2 - PDF text extraction
• pandas - Data manipulation
• plotly - Interactive visualizations

Using the application:

• Upload PDF resume files
• Paste the job description
• Click "Analyze Resumes"
• View results and download reports

Components:

• Similarity Score (25%) - TF-IDF cosine similarity
• Keyword Matching (35%) - Weighted skill alignment
• Experience Score (25%) - Years of experience vs requirements
• Framework Bonus (15%) - Django/Flask expertise bonus

📊 Weights by Skill:

• Python: 3.0x weight (most critical)
• Django/Flask: 2.5x weight
• REST API: 2.0x weight
• SQL/Databases: 2.0x weight
• Git: 1.5x weight
• Soft skills: 1.0-1.2x weight

📈 Output Features

Analytics:

• Candidate ranking with scores
• Score distribution visualization
• Detailed skill breakdown
• Experience analysis

Export Options:

• Excel spreadsheet with detailed metrics
• CSV data for further analysis
• Executive summary report