Implement ATS (Applicant Tracking System) keyword optimization with resume enhancement suggestions

[anshul23102]

Description

80% of resumes filtered out by ATS before human review due to keyword mismatch. Tool should analyze job description, identify critical ATS keywords, and suggest resume modifications to increase pass-through rate.

Current Impact: High-quality candidates rejected by ATS due to keyword formatting; users frustrated.

Expected Business Value: 80% improvement in ATS pass-through rate, 2x job application success, significant user value.

Steps to Reproduce

1. Upload resume and target job description
2. Check for ATS optimization guidance
3. Observe: no analysis provided; user unaware of keyword gaps

Environment Information

• Python 3.8+
• NLP processing available
• Job description in text/PDF format

Expected Behavior

• Analyzes job description for key phrases and requirements
• Compares against resume content
• Identifies missing ATS keywords
• Suggests bullet-point rewrites incorporating keywords
• Shows ATS score (estimated pass-through likelihood)
• Provides before/after comparison

Actual Behavior

• No ATS analysis functionality
• User unaware if resume matches ATS requirements
• No optimization suggestions
• High rejection rate from automated systems

Screenshots or Recordings

Not applicable - feature missing

Additional Context

Affected Users: All job seekers; critical for career success in automated hiring.

Root Cause: No ATS keyword extraction or matching logic.

Proposed Solution: Implement keyword extraction from job description, matching against resume, with suggestion engine.

Implementation Steps:

1. Extract keywords from job description using TF-IDF
2. Match keywords against resume content
3. Calculate ATS compatibility score (0-100)
4. Generate suggestions for missing keywords
5. Implement resume-rewriting suggestions
6. Create ATS simulator showing filter simulation
7. Expose API: POST /ats-optimize with score and suggestions

Test Cases:

• Job description with 15 keywords matched to resume (expect 10 found, 5 suggestions)
• Different resume formats (PDF, DOCX, TXT) processed correctly
• ATS score >80 for well-matched resume
• Suggestions improve score by 20+ points
• Before/after examples clear and actionable
• Performance: analyze job + resume <3 seconds

Severity: High - critical for user success
Expected Points: 500-600 GSSoC points

Suggested Labels

enhancement, ats-optimization, resume-enhancement, job-search, nlp, GSSoC26