📄 AI Resume–Job Match Analyzer An AI-powered resume screening web application that compares resumes with job descriptions using Natural Language Processing (NLP). The system calculates a match percentage and identifies missing skills to help candidates improve job alignment.

🌐 Live App: https://ai-resume-analyzer-hzmv7uajt8xq6phpzsw8ue.streamlit.app/ 💻 GitHub Repository: https://github.com/loopcraft3/AI-Resume-Analyzer

Project Overview This project simulates an ATS (Applicant Tracking System)-style resume screening tool. It analyzes the similarity between a candidate’s resume and a job description using NLP techniques such as TF-IDF vectorization and cosine similarity. The goal is to provide:

A realistic match percentage Skill gap detection A simple and interactive interface for real-time analysis

✨ Features

📄 Upload Resume (PDF format) 📝 Paste Job Description 📊 Match Percentage Calculation 📌 Automatic Keyword Extraction from Job Description ❗ Missing Skills Identification 🎨 Interactive and clean Streamlit UI ⚡ Real-time analysis

🛠 Tech Stack Python scikit-learn Natural Language Processing (NLP) TF-IDF Vectorization Cosine Similarity Streamlit PyPDF2 Git & GitHub

⚙️ How It Works

Extracts text from the uploaded resume (PDF). Cleans and preprocesses text: Lowercasing Stopword removal Punctuation removal Dynamically extracts relevant keywords from the job description. Converts resume and JD text into numerical vectors using TF-IDF. Computes similarity score using cosine similarity.

Displays: Match Percentage Match Category (Low / Moderate / Strong) Missing Skills

📦 Installation (Run Locally) 1️⃣ Clone the Repository git clone https://github.com/loopcraft3/Ai-Resume-Analyzer.git cd Ai-Resume-Analyzer

2️⃣ Install Dependencies pip install -r requirements.txt

3️⃣ Run the Application streamlit run app.py

🎯 Use Case

This tool can help: Students preparing for placements Job applicants tailoring resumes Understanding ATS-style resume filtering Practicing NLP-based text similarity techniques

📌 Future Improvements

Smarter skill extraction using NLP techniques Synonym matching Score breakdown by skill category PDF report download Improved UI styling

👩‍💻 Author

Shrushti Waghmare B.E. Information Technology Passionate about AI, Machine Learning, and Full-Stack Development

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