JD Detector is a web-based tool designed to analyze job descriptions and help identify recurring skills, technologies, and qualification patterns commonly requested by employers.
The project was created to support job seekers by improving visibility into hiring trends and helping users better tailor resumes, portfolios, and technical skill development plans.
https://jd-detector.vercel.app/
- Analyze job description text
- Detect recurring technical skills and keywords
- Identify common qualification trends
- Highlight relevant technologies and tools
- Simple browser-based interface
- HTML
- CSS
- JavaScript
- Vercel Deployment
As a Technical Communication graduate entering the modern job market, I wanted to better understand how employers structure technical job descriptions and which skills appear most frequently across technical documentation, developer documentation, and UX-focused communication roles.
This project also helped me strengthen my experience with:
- technical problem-solving
- documentation thinking
- frontend development fundamentals
- deployment workflows
- and user-focused tool design.
- AI-assisted keyword analysis
- Resume-to-job-description matching
- Skills gap recommendations
- Exportable reports
- Improved data visualization
Samuel Owusu
GitHub: https://github.com/Samuel25-hub