🚀 AI Resume Screening System

An AI-powered Resume Screening Tool that analyzes, ranks, and shortlists candidates based on job descriptions using Natural Language Processing (NLP) and Machine Learning.

---

📌 Project Overview

This project automates the resume screening process by:

• Extracting text from resumes (TXT, PDF, DOCX)
• Identifying relevant skills using NLP
• Matching resumes with job descriptions
• Scoring and ranking candidates
• Shortlisting top candidates automatically

---

🎯 Features

• Resume Parsing (TXT, PDF, DOCX)
• Skill Extraction using NLP
• TF-IDF + Cosine Similarity
• Candidate Ranking System
• Automatic Shortlisting
• Streamlit Interactive Dashboard
• CSV Export of Results

---

🧠 Tech Stack

• Python
• Pandas, NumPy
• Scikit-learn
• spaCy (NLP)
• pdfplumber, python-docx
• Streamlit

---

⚙️ System Workflow

Resume Upload → Text Extraction → Cleaning → Skill Extraction → Matching → Scoring → Ranking → Shortlisting → Dashboard

---

📂 Project Structure

Automated-Resume-Screening-Tool/
│
├── data/
│   └── job_description.txt
│
├── docs/
│   ├── approach.md
│   ├── architecture.md
│   └── project_overview.md
│
├── images/
│   ├── dashboard.png
│   ├── ranking.png
│   ├── chart.png
│   ├── upload.png
│   └── csv_output.png
│
├── outputs/
│   └── results.csv
│
├── resumes/
│   ├── resume1.txt
│   ├── resume2.txt
│   ├── resume3.txt
│   ├── resume4.txt
│   ├── resume5.txt
│   ├── resume6.txt
│   └── resume7.txt
│
├── src/
│   ├── extractor.py
│   ├── scorer.py
│   └── utils.py
│
├── app.py
├── main.py
├── requirements.txt
├── .gitignore
└── README.md

---

🚀 How to Run

1️⃣ Clone the repository

git clone https://github.com/VaishnavaDevi-R/Automated-Resume-Screening-Tool.git
cd Automated-Resume-Screening-Tool

---

2️⃣ Create virtual environment

python -m venv venv
venv\Scripts\activate

---

3️⃣ Install dependencies

pip install -r requirements.txt
python -m spacy download en_core_web_sm

---

4️⃣ Run CLI version

python main.py

Output:

outputs/results.csv

---

5️⃣ Run Dashboard

streamlit run app.py

---

📊 Sample Output

Resume	Score	Status
resume1.txt	0.78	Shortlisted
resume2.txt	0.52	Shortlisted
resume3.txt	0.30	Rejected

---

📸 Screenshots

🖥 Dashboard

📋 Ranking Table

📈 Score Chart

📂 Upload Section

📄 CSV Output

---

💡 Key Concepts Used

• TF-IDF Vectorization
• Cosine Similarity
• NLP-based Skill Matching
• Ranking Algorithms

---

🎯 Real-World Applications

• Applicant Tracking Systems (ATS)
• HR Automation
• Resume Filtering Systems
• Talent Analytics

---

🚀 Future Improvements

• Deep Learning (BERT / Transformers)
• Resume Feedback Suggestions
• Skill Gap Analysis
• Cloud Deployment
• Explainable AI

---

👩‍💻 Author

Vaishnava Devi

---

🌟 Support

If you like this project:

⭐ Star this repo 🍴 Fork it 📢 Share it

---