ResumeInsight

ResumeInsight is a console-based and web-based AI resume screening tool that ranks resumes based on their relevance to a given job description. Using NLP, TF-IDF, and cosine similarity, this tool helps recruiters and hiring managers quickly identify the most relevant candidates.

Features

• Parses resumes in PDF and DOCX formats
• Two Modes: Console & Web UI – Use via the terminal or a browser-based interface with Streamlit
• Extracts key information like skills, experience, and education
• Uses NLP to rank candidates based on job descriptions
• Provides insights into resume relevance
• Performance Optimization with Watchdog – Monitors file changes for efficient reloading
• Downloadable CSV Reports – Export ranked results for easy review

Installation

1. Clone the repository:

git clone https://github.com/iNoles/ResumeInsight.git
cd ResumeInsight

2. Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

pip install -r requirements.txt

Run the Console Version

python main.py

Run the Web App

streamlit run app.py

Dependencies

• python-docx (for parsing DOCX files)
• pdfminer.six (for extracting text from PDFs)
• spacy (for NLP processing)
• numpy & pandas (for data handling)
• Streamlit – For interactive web-based UI
• Watchdog – For performance optimization and real-time file monitoring

Contributing

1. Fork the repository
2. Create a new branch (feature-branch)
3. Commit your changes
4. Push to your fork
5. Submit a pull request