AI-Powered ATS Resume Analyzer 🚀

A full-stack web application designed to help job seekers optimize their resumes using Natural Language Processing (NLP). This tool semantically compares a resume against a job description to provide a matching score and identify missing skills.

🧠 Features

• Semantic Skill Matching: Uses the all-MiniLM-L6-v2 transformer model to understand the context of skills (e.g., matching "VLSI" to "Hardware Architecture").
• Multi-Format Support: Extracts text from both PDF and DOCX files.
• Real-Time Scoring: Calculates an ATS score based on contact information and skill relevance.
• Modern UI: Built with Flask, HTML5, and CSS3 for a clean user experience.

🛠️ Tech Stack

• Backend: Python, Flask
• AI/ML: Sentence-Transformers (Hugging Face), Scikit-learn, NumPy
• Parsing: pdfplumber, python-docx
• Frontend: HTML, CSS, JavaScript

📂 Project Structure

• app.py: Main Flask server and routing logic.
• utils/matcher.py: Core AI logic for vector embeddings and cosine similarity.
• utils/parser.py: Text extraction and contact parsing.
• static/: Frontend assets (CSS/JS).
• templates/: HTML views.

⚖️ License

Copyright (c) 2026 Kailash N H. All Rights Reserved.
This repository is for portfolio showcasing purposes only. No license is granted to use, copy, or distribute this code.