Applicant Tracking System (ATS) using Gemini Pro LLM (Resume Analysis)

The Applicant Tracking System (ATS) is an intelligent tool designed to enhance resume analysis by leveraging Google's Generative AI (Gemini). This system allows users to submit resumes in PDF format and match them against job descriptions. It provides feedback on strengths and weaknesses, identifies missing keywords, and suggests skill improvements to increase alignment with the job.

The application is built using Streamlit for an interactive web interface and incorporates tools such as PyPDF2 for PDF processing and Google Generative AI for content generation.

Project Interface

Key Features

• Upload resumes in PDF format.
• Get feedback on your resume's alignment with a job description.
• Identify missing keywords.
• Receive suggestions for improving skills.
• Calculate a percentage match between your resume and the job description.
• Clear all information

Built With

• Streamlit - Frontend framework for web applications.
• PyPDF2 - PDF content extraction.
• Google Generative AI - AI-powered resume analysis.
• Python-dotenv - Manage API keys and environment variables.

Installation

Follow these steps to set up the project locally:

Prerequisites

• Python 3.10
• Streamlit
• Google Generative AI API key

Installation Steps

1. Clone the Repository
   Open your terminal and clone the project from GitHub:

   git clone https://github.com/gamzeakkurt/Applicant-Tracking-System-ATS-using-Gemini-Pro-LLM.git

2. Create a Virtual Environment (Optional but recommended):

   conda create -p <Environment_Name> python==<python_version> -y
   conda activate <Environment_Name>

3. Install Dependencies
   Navigate to the project directory and install the required dependencies:

   cd [project_directory]
   pip install -r requirements.txt

4. Set Up API Key
   Create a .env file in the project root and add your Google Generative AI API key:

   GOOGLE_API_KEY=your_api_key_here

   A small warning: Do not share your Google API key with anyone.

5. Run the Application
   Start the Streamlit app by running:

   streamlit run app.py

6. Access the App
   Open a web browser and navigate to the provided Streamlit URL to use the ATS.

API Key Setup

To use the Google Generative AI services, you need an API key. Here's how to get it:

1. Visit Google Gemini API to create an account and obtain your API key.
2. Add the key to a .env file in the project directory as shown above.

How It Works

• Resume Upload: Users can upload resumes in PDF format, and the system extracts content using pdf2image.
• Job Description Input: The job description is entered into a text area, which helps generate a tailored response.
• Generative AI Processing: Google’s Gemini AI analyzes the resume and job description to provide feedback.
• Results: The system displays the evaluation, missing keywords, and suggestions for improvement.

Contributing

We welcome contributions to enhance the project!

• Report Bugs: Open an issue to report bugs.
• Contribute Code: Fork the repository, make your changes, and open a pull request.
• Suggestions: Have ideas? Open an issue to share your suggestions.

License

Distributed under the MIT License. See LICENSE for more information.

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