{"id":22627122,"url":"https://github.com/swarajkumarsingh/ats-project","last_synced_at":"2025-10-08T19:24:43.792Z","repository":{"id":265649924,"uuid":"855632464","full_name":"swarajkumarsingh/ats-project","owner":"swarajkumarsingh","description":"Free \u0026 Open Source ATS HR Portal with simple user friendly interface. 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This tool evaluates resumes against predefined job descriptions and ATS criteria, offering an intuitive and feature-rich interface for recruiters. Also supports both Gemeini \u0026 ChatGPT for it's calculations and saves the scheduled interview to google calender\n\n![ats](https://github.com/user-attachments/assets/85b094e1-1dd6-4773-a117-7e317adcd761)\n![ATS SS 2](https://github.com/user-attachments/assets/664e9086-6ea6-4844-b67b-5de468b162b9)\n\n\n## Features\n\n### 1. **Job Description and Criteria Input**\n   - **Text Area for Job Descriptions**: Input detailed job descriptions to define the requirements for the position.\n   - **Set Experience Requirements**:  \n      - Minimum Years of Experience: Define the least experience required for the role.  \n      - Maximum Years of Experience: Set the upper limit of experience suitable for the role.\n   - **ATS Score Criteria**: Set a difficulty level for filtering resumes based on ATS scores (0 to 100).\n\n---\n\n### 2. **Resume Uploads**\n   - **Upload Multiple Resumes**: Drag and drop or select multiple resumes in **PDF** or **DOCX** format.\n   - **Validation and Feedback**: Each resume is validated and categorized as *Accepted* or *Rejected* based on ATS criteria.\n\n---\n\n### 3. **Resume Processing**\n   - **Score Resumes**: Automatically calculate the ATS score for each resume using the provided job description and criteria.\n   - **Rejection Feedback**: Clear reasons for rejection (e.g., score below criteria, missing key information like name or email).\n   - **Approval Notifications**: Resumes that meet the ATS criteria are marked as *Passed*.\n\n---\n\n### 4. **Candidate Information Extraction**\n   - Extract **Name**, **Email**, and **Phone Number** from the resume for successful candidates.\n   - Validation for missing critical details like name or email, ensuring quality processing.\n\n---\n\n### 5. **AI-Powered ATS Scoring**\n   - **Supports Gemini and ChatGPT Models**:  \n     Leverage the power of **Gemini** and **ChatGPT** for enhanced AI-driven resume analysis and ATS scoring. You can easily switch between these models based on your preference or use case.\n\n---\n\n### 6. **Email Notifications**\n   - **HR Notification**: \n     - Receive a CSV file with details of all shortlisted candidates via email.  \n     - Email includes key candidate details and their ATS scores.\n   - **Candidate Notifications**:\n     - Shortlisted candidates receive an email informing them of their selection.\n\n---\n\n### 7. **Export and Download**\n   - **ZIP File of Shortlisted Resumes**: Download all shortlisted resumes in a single ZIP file for easy access.\n   - **CSV Export**: Export detailed candidate information (name, email, phone, ATS score) in CSV format.\n\n---\n\n### 8. **Debug Logs**\n   - **Debugging Made Easy**: Expandable debug logs display key details of the resume processing pipeline for transparency.\n\n---\n\n## How to Use\n\n1. **Set Job Criteria**:  \n   - Enter the job description, minimum and maximum experience, and ATS score criteria.\n2. **Upload Resumes**:  \n   - Drag and drop resumes in PDF or DOCX format into the upload section.\n3. **Process Resumes**:  \n   - Click \"Process Resumes\" to evaluate uploaded resumes.\n4. **Download Results**:  \n   - Download a ZIP of shortlisted resumes or a CSV with candidate details.\n5. **Email Notifications**:  \n   - Receive a compiled CSV of successful candidates.\n   - Shortlisted candidates receive personalized email notifications.\n\n---\n\n## Project Structure\n\n```\nproject/\n│\n├── main.py               # Core application logic\n├── utils.py              # Utility functions for processing resumes and files\n├── email_service.py      # Email handling for notifications\n├── .env                  # Environment variables (API keys, email config)\n└── README.md             # Project documentation\n```\n\n---\n\n## Dependencies\n\nMake sure you have the following libraries installed:\n\n- **Python 3.9+**\n- **Streamlit** (for the web interface)\n- **dotenv** (for environment variable management)\n- **io** (for handling string inputs/outputs)\n- **Custom modules** (`utils`, `email_service`)\n\nInstall all dependencies using:\n\n```bash\npip install -r requirements.txt\n```\n\n---\n\n## Configuration\n\n1. Create a `.env` file with the following variables:\n   ```\n   SMTP_SERVER=smtp.example.com\n   SMTP_PORT=587\n   SMTP_USER=your_email@example.com\n   SMTP_PASSWORD=your_email_password\n   \n   GEMINI_API_KEY=your_key\n   OPENAI_API_KEY=your_key\n   \n   AWS_BUCKET_NAME=your_aws_bucket_name\n   AWS_SES_FROM_EMAIL_ID=your_aws_ses_from_email\n   ```\n2. Adjust any custom configurations in `email_service.py` and `utils.py` as needed.\n\n---\n\n## Run the Application\n\nStart the application using Streamlit:\n\n```bash\nstreamlit run main.py\n```\n\nVisit the app in your browser at `http://localhost:8501`.\n\n---\n\n## Future Enhancements\n\n- **AI-Based Resume Scoring**: Use ML models to improve the scoring process.\n- **Integration with Job Boards**: Automate resume collection directly from platforms like LinkedIn or Naukri.\n- **Admin Dashboard**: Add analytics for processed resumes and ATS performance.\n\n---\n\n## **Application Workflow**\n\n## **Overview**\nThis document details the automated workflow for processing candidate resumes through the ATS (Applicant Tracking System). The system is engineered to efficiently extract and evaluate candidate data, executing a series of sophisticated actions when the candidate's ATS score surpasses 75%.\n\n---\n\n## Workflow Steps\n\n1. **Initial Scoring:**\n   - The ATS application processes each candidate's resume.\n   - Calculate the candidate's ATS score based on the match between the resume, job description and ats score.\n\n2. **Conditional Check:**\n   - **If Candidate's ATS Score \u003e 75%:**\n     - Proceed with the following steps.\n   - **Else:**\n     - No further action is taken for this candidate.\n\n3. **Data Extraction:**\n   - Extract the following details from the candidate's resume:\n     - **Candidate's ATS Score**: The calculated score indicating how well the resume matches the job description.\n     - **Candidate's Email**: The email address provided by the candidate.\n     - **Candidate's Name**: The full name of the candidate.\n     - **Candidate's Phone Number**: The contact phone number listed on the resume.\n\n4. **Email Notifications:**\n   - **To HR:**\n     - Send an email containing the candidate's ATS score, name, email, and phone number.\n   - **To Candidate:**\n     - Send an email informing the candidate about the outcome and next steps.\n\n5. **Google Calendar Event:**\n   - Set up a Google Calendar event for the candidate.\n   - Send the event invitation to both the candidate and HR.\n\n\n6. **Download processed resumes button:**\n   - Download the list of passed candidates in zip format.\n\n### Contact\n\nFor queries, suggestions, or contributions, feel free to reach out:\n\n- **Email**: sswaraj169@gmail.com\n- **Linkedin**: https://in.linkedin.com/in/swarajkumarsingh\n\n### Happy Recruiting!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fswarajkumarsingh%2Fats-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fswarajkumarsingh%2Fats-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fswarajkumarsingh%2Fats-project/lists"}