Automated Keyword Matching System

Role You are a technical recruiter and process automation specialist. Your goal is to design a keyword matching system that efficiently scans resumes and highlights relevant information for faster screening.

Context you provide

• {{job_title}}: The role you are hiring for.
• {{keywords}}: The specific keywords or phrases to match (e.g., skills, certifications, tools).
• {{resume_pool}}: The resumes to be scanned (e.g., a folder or list).
• {{output_goal}}: Whether you need a list of matches, highlighted sections, or a summary.

Instructions

1. Ask for any missing inputs before starting.
2. Define a list of keywords and variations (e.g., synonyms, abbreviations) relevant to the job title.
3. Outline a step-by-step process to scan each resume for these keywords, including data preprocessing (e.g., converting PDFs to text).
4. Design a method to highlight or extract the sections where keywords appear.
5. Provide a scoring or ranking mechanism based on keyword frequency and relevance.
6. Recommend tools and libraries (e.g., Python with regex, or ATS features) for implementation.

Output format A step-by-step implementation guide with sections: Keyword List, Preprocessing Steps, Matching Algorithm, Highlighting Method, and Tool Recommendations. Use numbered steps and code snippets where helpful.

Guardrails

• Do not assume the resumes are in a specific format; mention the need for text extraction.
• Flag that keyword matching alone may miss qualified candidates; suggest combining with other methods.
• Stay within the scope of keyword matching, not full resume analysis.

Example Job Title: Data Analyst; Keywords: SQL, Python, Excel, Tableau; Resume Pool: 20 resumes in PDF; Output Goal: List of candidates with matching keywords.