AI-powered-Resume-Screening-and-Ranking-System

An AI-powered system for automated resume screening and ranking based on job descriptions.

📌 Overview

The Resume Ranking System is an AI-driven tool designed to simplify and optimize the hiring process. It allows recruiters to upload resumes, enter a job description, and receive ranked resumes based on their relevance. This system leverages Natural Language Processing (NLP) and Machine Learning (ML) algorithms to evaluate and compare resumes efficiently.

✨ Features

• 📂 Upload multiple resumes (PDF format, max 200MB per file)
• 📝 Input job description to match candidate profiles
• 📊 Resume ranking system using NLP and ML techniques
• 🔍 Match score (%) to evaluate candidate relevance
• 💡 AI suggestions for resume improvement
• 🎨 Dark theme UI with a sleek, interactive design
• ☁ Deployed using Streamlit

🛠️ Tech Stack

• Frontend & UI: Streamlit
• Backend: Python, Flask
• NLP Processing: spaCy, NLTK, TF-IDF
• Machine Learning: Scikit-learn, KNN, Cosine Similarity
• Data Handling: Pandas, NumPy
• Deployment: Streamlit Cloud / Local Hosting

📷 Screenshots

Upload Resumes & Enter Job Description

Resume Ranking Results

🏗️ Installation & Setup

Clone the Repository

git clone https://github.com/rutikakengal/AI-Resume-Screening-And-System-Ranking.git
cd AI-Resume-Screening-And-System-Ranking

Install Dependencies

pip install -r requirements.txt

Run the Application

streamlit run app.py

🎯 How It Works

1. Upload resumes (PDF format)
2. Enter job description in the input box
3. Click Submit to process and rank resumes
4. View ranked resumes with match scores & AI suggestions

📌 Future Enhancements

• ✅ Support for DOCX and other file formats
• ✅ Advanced AI-based skill extraction
• ✅ Cloud-based deployment

💡 Contributing

Contributions are welcome! Feel free to fork this repo and submit a pull request.

🔗 Connect With Me

• GitHub: rutikakengal
• LinkedIn: rutikakengal

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🚀 Transform your hiring process with AI-powered resume ranking!