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Using NLP, TF-IDF, and cosine similarity, this tool helps recruiters and hiring managers quickly identify the most relevant candidates.\n\n## Features\n\n- Parses resumes in PDF and DOCX formats\n- Two Modes: Console \u0026 Web UI – Use via the terminal or a browser-based interface with Streamlit\n- Extracts key information like skills, experience, and education\n- Uses NLP to rank candidates based on job descriptions\n- Provides insights into resume relevance\n- Performance Optimization with Watchdog – Monitors file changes for efficient reloading\n- Downloadable CSV Reports – Export ranked results for easy review\n\n## Installation\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/iNoles/ResumeInsight.git\ncd ResumeInsight\n```\n\n2. Create a virtual environment and activate it:\n```bash\npython -m venv venv\nsource venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n```\n3. Install dependencies:\n```bash\npip install -r requirements.txt\n```\n\n### Run the Console Version\n```bash\npython main.py\n```\n\n### Run the Web App\n```bash\nstreamlit run app.py\n```\n\n## Dependencies\n\n- python-docx (for parsing DOCX files)\n- pdfminer.six (for extracting text from PDFs)\n- spacy (for NLP processing)\n- numpy \u0026 pandas (for data handling)\n- Streamlit – For interactive web-based UI\n- Watchdog – For performance optimization and real-time file monitoring\n\n## Contributing\n\n1. Fork the repository\n2. Create a new branch (```feature-branch```)\n3. Commit your changes\n4. Push to your fork\n5. Submit a pull request\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finoles%2Fresumeinsight","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finoles%2Fresumeinsight","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finoles%2Fresumeinsight/lists"}