Why most AI-generated resumes get rejected before a human ever reads them
Roughly three out of four resumes are filtered by an Applicant Tracking System (ATS) before a recruiter sees them. The system doesn't "read" your resume — it parses it into fields, and it does that badly if your formatting fights it. Tables, text boxes, headers/footers, and multi-column layouts often get scrambled or dropped entirely during parsing, which is why a visually polished resume can score zero matches on a keyword scan. Keep the structure simple: standard section headers (Experience, Education, Skills), no tables, no graphics carrying information.
How keyword matching actually works
ATS systems score your resume against the job description's language, not against your actual skill. If the posting says "stakeholder management" and your resume says "worked with clients," that's a miss even though it means the same thing. Pull 5–8 exact phrases from the job description and use them verbatim somewhere in your resume — not stuffed unnaturally, just present.
One real before/after
Before: "Worked on a project for college fest involving a team."
After: "Coordinated a 12-member team to plan and execute a college festival for 500+ attendees, managing a ₹40,000 budget and 3 external vendors."
The difference isn't length — it's specificity. Numbers, scope, and your actual role turn a vague line into evidence a recruiter can act on.
Where fresh graduates go wrong
The most common mistake isn't bad writing — it's treating "no experience" as something to hide rather than reframe. Coursework projects, internships, and even well-run student organisation work count as experience when you describe the scope and outcome, not just the activity.