ATS Score Calculify is a web application designed to evaluate resumes against job descriptions using advanced AI models. It offers three main functionalities:
- Resume Evaluation: Review the provided resume against the job description and highlight strengths and weaknesses.
- Improvement Suggestions: Provide constructive feedback on the resume and suggest improvements.
- Match Percentage Calculation: Analyze the resume and job description to give a percentage match, along with missing keywords and final thoughts.
This tool is built using Streamlit for the user interface and Google Generative AI for processing and analyzing the content.
- Evaluate Resume: Get a professional evaluation of how well the resume matches the job description.
- Suggest Improvements: Receive actionable feedback to improve the resume.
- Percentage Match: Calculate the percentage of match between the resume and the job description.
- Progress Indicator: Shows a spinner while processing the PDF.
- Visualizations: Displays a bar chart showing the match percentage.
- File Handling: Handles PDF file uploads and ensures file integrity.
To set up the project on your local machine, follow these steps:
git clone https://github.com/your-username/ats-score-calculify.git
cd ats-score-calculify
### 2. Create a Virtual Environment
Create a virtual environment to manage dependencies:
```bash
python -m venv .venv
-
Windows:
.venv\Scripts\activate
-
macOS/Linux:
source .venv/bin/activate
Install the required packages from requirements.txt
:
pip install -r requirements.txt
Create a .env
file in the project root directory and add your Google Generative AI API key:
GOOGLE_API_KEY=your_google_api_key
Ensure that Poppler is installed and added to your PATH environment variable. Download it from Poppler for Windows or the Poppler official website.
Add the Poppler bin
directory to your PATH:
-
Windows:
Open Command Prompt and run:
set PATH=%PATH%;C:\Program Files\Poppler\Library\bin
-
macOS/Linux:
Add the following line to your
.bashrc
or.zshrc
file:export PATH="/path/to/poppler/bin:$PATH"
Replace
/path/to/poppler/bin
with the actual path to the Popplerbin
directory.
Start the Streamlit server with:
streamlit run app.py
Open your web browser and navigate to http://localhost:8501 to access the application.
In the "Job Description" text area, input the job description for the role you are evaluating.
Upload the resume in PDF format using the "Upload Resume" button.
Choose one of the following actions:
- Evaluate Resume: Click "Evaluate Resume" to receive a professional evaluation of the resume.
- Suggest Improvements: Click "Suggest Improvements" for feedback on how to enhance the resume.
- Percentage Match: Click "Percentage Match" to get the match percentage along with keywords missing and final thoughts.
Results will be displayed on the page based on the selected action. If you choose "Percentage Match," a bar chart showing the match percentage will also be displayed.
- Empty PDF File: Ensure that the PDF file is not empty.
- File Upload Errors: Check that the file is indeed a PDF and not corrupted.
- API Key Errors: Verify that the
GOOGLE_API_KEY
in your.env
file is correct and valid. - Poppler Issues: Make sure that Poppler is correctly installed and the
bin
directory is in your PATH.
PDFPageCountError
: This usually means the PDF file is empty or corrupted. Check the file and ensure it’s a valid PDF.ValueError: could not convert string to float
: This indicates a parsing issue. Make sure the response text from the API contains a valid percentage.
- Streamlit for creating an excellent tool for building web apps.
- Google Generative AI for advanced AI capabilities.
- pdf2image for PDF to image conversion.
- Poppler for PDF rendering.