AI-Powered-Resume-Analyzer

Analyze resumes intelligently using Natural Language Processing (NLP) and AI.

Project Overview

This project aims to build an AI-powered resume analyzer that evaluates resumes and provides suggestions for improvement. It uses natural language processing (NLP) techniques to analyze the content of resumes and match them with job descriptions.

Technologies Used

• Python
• Streamlit
• NLP (Natural Language Processing)
• Machine Learning Models
• Pandas, NumPy, Scikit-Learn

Installation

To run this project locally:

1. Clone the repo:

   git clone https://github.com/SilentProgrammer-max/AI-Powered-Resume-Analyzer.git

Navigate to the project directory:

cd AI-Powered-Resume-Analyzer

Install the dependencies:

pip install -r requirements.txt

How to Run the App

To start the Streamlit app:

streamlit run main.py

Features

• Upload resume files in various formats (PDF, DOCX).

• Analyze resume quality based on predefined criteria.

• Get feedback and suggestions for improving the resume.

Contributing

If you'd like to contribute to this project, please fork the repo and create a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.