ATS_ResumeRefiner

ATS_ResumeRefiner is a powerful AI-driven tool designed to analyze resumes and evaluate their alignment with specific job descriptions. Using advanced techniques like Zero-Shot, One-Shot, and Few-Shot learning, this application provides insightful feedback and a percentage match, making it easier for recruiters and job seekers to refine resumes for better results.

---

Features

• Zero-Shot Analysis: Evaluate resumes without prior examples.
• One-Shot Analysis: Analyze resumes based on a single structured example.
• Few-Shot Analysis: Provide nuanced feedback by generalizing from multiple examples.
• Match Percentage: Quantify how well a resume aligns with the given job description.
• Interactive Interface: User-friendly interface built with Streamlit for seamless interaction.

---

Technologies Used

• Python: Core programming language.
• Streamlit: For building an interactive web application.
• Google Generative AI (Gemini): For AI-driven content generation.
• pdf2image: For converting PDF files to images.
• Pillow (PIL): For image manipulation.
• dotenv: For managing API keys securely using environment variables.

---

Setup and Installation

Follow these steps to set up and run the project on your local machine:

1. Clone the Repository

git clone https://github.com/Kusumareddy28/ATS_ResumeRefiner
cd ATS_ResumeRefiner\final-project

2. Create a Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate

3. Install Dependencies

Copy code
pip install -r requirements.txt

4. Configure Environment Variables

Create a .env file in the project root directory and add your Google Generative AI API key:

plaintext Copy code GOOGLE_API_KEY=your_api_key_here

5. Run the Application

Copy code
streamlit run app.py

Screenshots

Here’s a screenshot of the application interface:

---

Future Enhancements

• Integrate more advanced AI models for improved analysis.
• Add support for additional file formats (e.g., DOCX).
• Implement a "Resume Builder" feature for automatic refinement.

---

Contributing

If you'd like to contribute to this project:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Submit a pull request.

---

Contact

For questions or feedback, feel free to reach out:

Author: Kusuma Reddyvari
Email: [email protected]
GitHub: KusumaReddyvari