Resume auto-rejection from ATS — 2-minute keyword & format check

Many job seekers and career services face automatic rejection by applicant tracking systems: industry estimates 50–75% of resumes never reach human eyes because simple keyword mismatches and formatting issues trigger filters, affecting roughly 200 million active job seekers worldwide. That wastes time for candidates—especially early-career, return-to-work, and career-changers—and for employers who miss qualified applicants due to false negatives. Build a 2-minute keyword and format checker that simulates leading ATS parsers, applies transformer-based semantic matching to surface missing concepts (not just literal keywords), and produces prioritized, exportable fixes plus ATS-friendly file outputs. Deliver it as a mobile-first freemium consumer app with a $30/year premium tier and enterprise/campus licensing to capture the $6.0B market (200M users × $30 ARPU/year) and complementary B2B revenue. The timing is strong: broader ATS adoption, rapid improvements in NLP and semantic matching, and consumer expectations for polished, mobile-first HR tools all converge—reflected in a Market Score of 90/100 and a Revenue Potential of 78/100. To stand out in a medium-competition landscape you need validated conversion uplift metrics, a maintained multi-ATS parser library, deep integrations/partnerships for in-product submission, and strict privacy and anti-gaming safeguards; the core challenges are continuous parser maintenance, avoiding encouraging keyword-stuffing, and the investment required for rigorous validation.