Resume Ranker App (GenAI-Powered)

Resume Ranker App is a user-friendly Streamlit application that leverages Azure OpenAI to evaluate and rank multiple resumes based on a provided job description. With this tool, recruiters and HR professionals can streamline their candidate screening process using AI-driven insights.

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Features

• Easy Upload: Upload a job description PDF and up to 10 candidate resumes (PDF format).
• AI-Powered Scoring: Uses Azure OpenAI (GPT) to analyze and score each resume against the job description.
• Automated Ranking: Instantly ranks resumes from best to least match.
• Secure & Private: All processing happens within your environment; no data is stored.

How It Works

1. Upload

   • Upload the job description as a PDF.
   • Upload up to 10 candidate resumes in PDF format.

2. Processing

   • The app extracts text from each PDF.
   • For each resume, it uses Azure OpenAI to compare with the job description and assigns a match score (0-100).

3. Results

   • Resumes are listed and ranked by their AI-generated match score.

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Required Libraries

Install all dependencies using the requirements file:

pip install -r requirements.txt

Main libraries used:

• streamlit
• os
• PyPDF2
• python-dotenv
• langchain
• openai
• azure-ai-ml (if needed for Azure integration)

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How to Run

1. Clone the repository

   git clone https://github.com/dharm1123/Resume_Ranker_App_GenAI-App.git
   cd Resume_Ranker_App_GenAI-App

2. Install dependencies

   pip install -r requirements.txt

3. Set up environment variables

   • Create a .env file in the root directory with the following content:

     AZURE_OPENAI_API_BASE=your_azure_openai_endpoint
     AZURE_OPENAI_API_VERSION=your_api_version
     AZURE_OPENAI_DEPLOYMENT_NAME=your_deployment_name
     AZURE_OPENAI_API_KEY=your_api_key
     

4. Run the app

   streamlit run app.py

5. Open in Browser

   • After running, Streamlit will provide a local URL (usually http://localhost:8501/). Open this in your browser to use the app.

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File Structure

Resume_Ranker_App_GenAI-App/
├── app.py
├── requirements.txt
├── .env.example
├── README.md
└── ...

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Author

DHARM DUDHAGARA
GitHub Profile

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Contributors

• DHARM DUDHAGARA
• Devangi Shingala

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Contact

For suggestions, issues, or feature requests, please use the GitHub Issues page.

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