AICTE-internship-on-AI-Project-1-AI-powered-Resume-Screening-and-Ranking-System

AICTE Internship on AI: Transformative Learning with TechSaksham – A joint CSR initiative of Microsoft & SAP

AI Resume Screening & Candidate Ranking System

Overview

This project is an AI-powered resume screening system that ranks resumes based on their similarity to a given job description. It extracts text from PDF resumes, computes TF-IDF scores, and calculates cosine similarity to rank candidates.

Features

• Upload multiple PDF resumes.
• Extracts text using PyPDF2.
• Computes similarity scores using TfidfVectorizer and cosine_similarity.
• Displays ranked resumes with similarity scores.
• Built using Streamlit for an interactive UI.

Installation

Prerequisites

Ensure you have the following installed:

• Python 3.x
• pip

Install Dependencies

Run the following command to install the required packages:

pip install streamlit pandas PyPDF2 scikit-learn

Usage

Running the Application

Run the following command in your terminal:

streamlit run your_script.py

Steps

1. Enter the job description in the text area.
2. Upload multiple PDF resumes.
3. The system ranks resumes based on their similarity to the job description.
4. View the ranked results in a table format.

File Structure

|-- your_script.py  # Main application file
|-- requirements.txt  # List of dependencies
|-- README.md  # Project documentation

Contributing

Feel free to fork the repository and submit pull requests with improvements!

Contact

For any inquiries, reach out to aarushi.sharma1227@gmail.com.