ATS (Application Tracking System) for Resumes using Google Gemini Pro

An Application Tracking System (ATS) designed to evaluate resumes against job descriptions. This project leverages the power of Google Gemini Pro API to analyze resumes, highlight matching keywords, suggest improvements, and compute a match percentage. It helps candidates optimize their resumes for specific roles, increasing the likelihood of passing ATS filters used by employers.

Features

• Upload Resumes: Upload resumes in PDF format for analysis.
• Job Description Matching: Compare resumes with job descriptions to assess suitability.
• Match Percentage: Compute how well the resume aligns with the job description.
• Keyword Analysis: Highlight missing and matched keywords.
• Suggestions for Improvement: Get actionable advice to make your resume stand out.
• Resume Insights: Summarize strengths and weaknesses in the resume.

Demo

1. Step 1: Enter the job description into a text box.
2. Step 2: Upload the resume in PDF format.
3. Output:
   • Match Percentage: See how well the resume matches the job description.
   • Missing Keywords: Identify critical keywords missing from the resume.
   • Suggestions: Get guidance on how to improve the resume.
   • Detailed Insights: Summarize the strengths and weaknesses in the resume.

Technology Stack

• Backend:
  • Google Gemini Pro API for text and resume analysis.
  • Python for implementing the logic.
• Frontend:
  • Streamlit for creating a user-friendly web interface.
• Libraries:
  • google.generativeai: Access Google Gemini Pro’s capabilities.
  • pdf2image: Convert PDF resumes into image format.
  • Pillow (PIL): Process images for analysis.
  • python-dotenv: Securely manage environment variables like API keys.

Prerequisites

1. Python 3.10 or higher: Required for compatibility with Google Gemini Pro.
2. Google Gemini Pro API Key:
   • Obtain your API key from Maker Suite.
   • Add the API key to a .env file in the project root:

     GOOGLE_API_KEY=<your_api_key>
     

3. Poppler for Windows:
   • Download and install Poppler for converting PDFs to images using pdf2image.
   • Add the Poppler bin directory to your system PATH.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/ats-resume.git
   cd ats-resume
   

2. Create a virtual environment:

   conda create -p venv python=3.10
   conda activate ./venv
   

3. Install dependencies:

   pip install -r requirements.txt
   

Usage

1. Run the application:

   streamlit run app.py
   

2. Enter the job description and upload a resume to see results.