ATS Scan Tool

Welcome to the ATS Scan Tool! This project leverages cutting-edge technology to help job seekers optimize their resumes to better match job descriptions and improve their chances of passing through Applicant Tracking Systems (ATS).

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Features

• Resume Analysis: Upload your resume and a job description to receive a detailed analysis.
• ATS Score: Get a score indicating how well your resume matches the job description.
• Strengths & Weaknesses Report: Identify strong points and areas of improvement in your resume.
• User-Friendly Interface: Easy-to-use interface built with Streamlit.
• Detailed Explanation: Understand the reasoning behind your score and how you can improve it.

Getting Started

link

https://atsscore.streamlit.app/

Prerequisites

• Python 3.8+: Ensure Python is installed on your system.
• Streamlit: For the front-end user interface.
• Google Gemini Pro: For advanced natural language processing capabilities.

Usage

1. Upload Resume & Job Description:

   • Use the file upload widgets to upload your resume and the job description file.

2. View Results:

   • After processing, view the ATS score and detailed feedback on how your resume aligns with the job description.

3. Improve Your Resume:

   • Use the provided suggestions to enhance your resume and increase your ATS score.

How It Works

Front-End

• Streamlit: The entire user interface is built using Streamlit, providing a fast and interactive way to create web apps in Python.

Back-End

• Python: Handles the core logic for parsing and analyzing resumes and job descriptions.
• Google Gemini Pro: Utilized for its advanced natural language understanding to compare the resume with the job description and extract key insights.

Analysis Process

1. Text Extraction: Extracts text from the uploaded documents using Google Gemini Pro.
2. Keyword Matching: Utilizes NLP to compare keywords and phrases in the resume with those in the job description.
3. Scoring: Calculates an ATS score based on the relevance and frequency of key terms.
4. Feedback Generation: Provides insights into strengths and areas for improvement.

Roadmap

• Enhance Keyword Matching: Improve the NLP algorithms for better accuracy using Google Gemini Pro.
• Add Support for Multiple Languages: Expand the tool to support resumes and job descriptions in various languages.
• Integrate with Job Platforms: Allow users to pull job descriptions directly from job listing websites.
• Advanced Analytics: Incorporate more sophisticated metrics and visualizations.

License

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

Acknowledgements

• Google Gemini Pro: For its powerful language processing capabilities.
• Streamlit: For the user-friendly interface framework.
• OpenAI: For providing the language model assistance.