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Resume Optimizer
The Resume Optimizer is a fully browser-based AI agent that rewrites your resume to beat Applicant Tracking Systems (ATS) and land more interviews. Upload your existing resume as a PDF, DOCX, or plain text file — the agent extracts the text using pypdf and python-docx running via Pyodide (Python compiled to WebAssembly) — then paste the job description you are targeting. The agent analyzes both documents locally and delivers four results simultaneously. First, an ATS compatibility score (0–100) with a breakdown across keyword coverage, formatting compliance, action verb usage, and achievement quantification. Second, a keyword analysis panel showing every required skill and term from the job description as either matched (present in your resume) or missing (absent but needed). Third, a set of issues and recommendations ranked as critical, warning, or informational — covering specific bullet points to rewrite, missing sections, and suggested power verbs for your industry and role level. Fourth, a full optimized resume with rewritten bullet points, added keywords, and ATS-safe formatting applied. The three-panel interface lets you view the original, the optimized version, and a direct side-by-side comparison. When you are satisfied, export the optimized resume as a PDF (via jsPDF), DOCX, or plain text with one click. The template supports seven target industries — Technology, Finance, Healthcare, Marketing, Engineering, Consulting, and Other — and four role levels: Entry, Mid, Senior, and Executive. Because the entire pipeline — PDF text extraction, keyword matching, ATS scoring, and LLM rewriting — runs inside the browser, no resume data is ever uploaded to an external server. Compatible with GPT-4o, Claude 3.5 Sonnet, or a fully local WebLLM model for complete offline privacy.
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