Simple Application Tracking System (ATS) - Powered by Gemini Pro - 1.5

Simple ATS is a recruitment tool that leverages Google Generative AI ( Gemini Pro 1.5) to enhance the hiring process. It automatically analyzes how well a candidate's CV matches a job description and provides actionable feedback for improvement. The system also summarizes job descriptions and provides downloadable example CV templates, helping candidates align their CVs with job requirements more effectively.

Features

• Job Description Analysis: Get comprehensive information from job descriptions.
• CV and Job Description Matching: Automatically compare CV content with a job description and get a matching score.
• CV Improvement Suggestions: Receive suggestions on how to improve your CV to better align with the job description.
• Example CV Templates: Download example CV templates tailored to different roles.

How to Use

1. Upload Your CV: Upload a PDF version of your CV.
2. Paste the Job Description: Paste the job description into the provided text box.
3. Choose an Action:
   • Get comprehensive information from the job description.
   • Compare your CV to the job description.
   • Get suggestions on how to improve your CV.
4. Download Example CV: Download an example CV to help you create or modify your own CV for better alignment with job roles.

Technologies Used

• Google Generative AI (Gemini Pro 1.5): For advanced Natural Language Processing (NLP) tasks, such as summarizing job descriptions and analyzing CVs.
• Streamlit: For building the user-friendly web interface.
• PyPDF2: For extracting text from PDF documents.
• Python: For backend logic and application control.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/simple-ats.git

2. Navigate to the project directory:

   cd simple-application-tracking-system

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up the environment variables in a .env file:

   GEMINI_API_KEY=your_gemini_pro_api_key
   

5. Run the Streamlit application:

   streamlit run main.py

Contributions

Contributions, issues, and feature requests are welcome! Feel free to check out the issues page.

License

This project is licensed under the MIT License. See the LICENSE file for more details.