AI Resume Matcher is a front-end-first assessment tool that streamlines initial candidate triage by combining robust file parsing with generative AI-driven evaluation. Users upload a ZIP of resumes in PDF/DOCX/TXT formats, provide a job description, and the tool performs extraction, parsing and normalization of resume content (text extraction, basic entity detection). A generative scoring engine then compares candidate attributes to the JD and emits a match score with structured reasoning and highlights for strengths and gaps. The app includes safeguards around file validation, rate-limited usage for free tiers, and optional Supabase authentication for usage tracking. The UI focuses on clarity—side-by-side comparison of candidate scores, key skill matches, and exportable shortlists. The product lowers the time-to-shortlist substantially, surfaces objective reasons for matches, and can be integrated into downstream ATS workflows by exporting CSV shortlists and annotated candidate reports.