{"id":24200228,"url":"https://github.com/kishyassin/resume-filtering-with-python","last_synced_at":"2025-03-03T09:25:48.619Z","repository":{"id":269886643,"uuid":"908745587","full_name":"kishyassin/Resume-Filtering-with-python","owner":"kishyassin","description":"This project streamlines the recruitment process by automating the analysis and selection of candidates. 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It combines Python-based automation, advanced text extraction, and language model processing to deliver a comprehensive dashboard for candidate evaluation.\n\n## Features\n\n- Extract text from PDF resumes\n- Convert extracted text to structured JSON format\n- Filter candidates by tags\n- Generate PDF reports of selected candidates\n- Send recruitment messages to selected candidates\n\n## Prerequisites\n\n- Python 3.12\n- Required Python packages (listed in `requirements.txt`)\n\n## Installation\n\n1. Clone the repository:\n    ```sh\n    git clone https://github.com/kishyassin/Resume-Filtering-with-python.git\n    cd Resume-Filtering-with-python\n    ```\n\n2. Install the required packages:\n    ```sh\n    pip install -r requirements.txt\n    ```\n\n## Configuration\n\n1. Open the [configuration.py](http://_vscodecontentref_/0) file and add your API key, email, and password:\n    ```python\n    api_key = \"your_grok_ai_api_key\"\n    email = \"your_email@example.com\"\n    password = \"your_password\"\n    ```\n\n## Usage\n\n1. Place your CVs in PDF format in the [Banque-CV](http://_vscodecontentref_/1) folder.\n\n2. Run the [pdf-to-text-to-json.py](http://_vscodecontentref_/2) script to extract text from the PDFs and convert it to JSON format:\n    ```sh\n    python pdf-to-text-to-json.py\n    ```\n\n3. Run the [dashboard.py](http://_vscodecontentref_/3) script to start the Streamlit dashboard:\n    ```sh\n    streamlit run dashboard.py\n    ```\n\n## Project Structure\n\n- [Banque-CV](http://_vscodecontentref_/4): Folder to store CVs in PDF format.\n- [banque-cv.json](http://_vscodecontentref_/5): JSON file containing extracted and structured CV data.\n- [configuration.py](http://_vscodecontentref_/6): Configuration file for API key, email, and password.\n- [dashboard.py](http://_vscodecontentref_/7): Streamlit dashboard for managing and filtering CVs.\n- [functions_logic](http://_vscodecontentref_/8): Folder containing logic for various functions.\n  - [extract_json_from_text.py](http://_vscodecontentref_/9): Extracts JSON data from text using Groq AI.\n  - [extract_text_from_pdf.py](http://_vscodecontentref_/10): Extracts text from PDF files.\n  - [filter_by_tags.py](http://_vscodecontentref_/11): Filters CVs by tags.\n  - [generate_pdf.py](http://_vscodecontentref_/12): Generates PDF reports of selected CVs.\n  - [send_recruitment_message.py](http://_vscodecontentref_/13): Sends recruitment messages via email.\n- [LICENSE](http://_vscodecontentref_/14): License file.\n- [pdf-to-text-to-json.py](http://_vscodecontentref_/15): Script to process CVs from PDF to JSON.\n- [README.md](http://_vscodecontentref_/16): This file.\n- [requirements.txt](http://_vscodecontentref_/17): List of required Python packages.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](http://_vscodecontentref_/18) file for details.\n\n## Acknowledgments\n\n- Groq AI for text extraction and language model processing.\n- Streamlit for the interactive dashboard.\n- PyPDF2 for PDF text extraction.\n- FPDF for PDF generation.","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkishyassin%2Fresume-filtering-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkishyassin%2Fresume-filtering-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkishyassin%2Fresume-filtering-with-python/lists"}