A React-based web application designed to streamline resume evaluation using Natural Language Processing (NLP) techniques. It provides users with actionable insights to improve their resumes and helps hiring teams assess candidate fit more efficiently.
The Resume Scorer web application simplifies the process of evaluating resumes by leveraging advanced NLP techniques to analyze and score resumes based on predefined criteria such as skills, experience, and job alignment. Key features include:
The application provides an overall match score (0-100), technology stack match percentage, identification of key technologies, experience level assessment, highlights and achievements analysis, strengths identification, areas for improvement, and specific recommendations. By offering a responsive design and user-friendly interface, it ensures accessibility across devices while aiding hiring teams in efficiently assessing candidate fit.
- Frontend: React with Tailwind CSS for styling.
- Backend: Not applicable (client-side only).
- NLP Library: Utilizes advanced parsing techniques for resume analysis.
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Clone the repository:
git clone https://github.com/omkadu8767/Resume-Scorer -
Install dependencies:
npm install -
Start the application:
npm run dev -
Open your browser and navigate to
http://localhost:5173to view the application.
The application can be deployed on any web server or cloud platform like AWS or Google Cloud. For a production environment, consider using a static site generator or hosting on a CDN for better performance.
Contributions are welcome! Please submit a pull request with your changes and include a brief description of what you've added or fixed.