What AI models does MyCVRoast use?

We use large language models via secure API calls. Exact model versions may change as providers improve quality and cost.

Guest uploads are processed and not persisted. Signed-in users can save roast history to their dashboard account.

How is the score calculated?

The score reflects structure, content quality, ATS parseability signals, and recruiter readability — presented as /10 with explained factors.

Methodology

How MyCVRoast analyzes resumes, optimizes for ATS, and delivers roast feedback — including limitations.

Analysis process

User uploads PDF or TXT (max 5 MB).
Text is extracted and sent to AI with role-aware prompts (fresher vs experienced context).
Model returns score, strengths, weaknesses, ATS notes, and rewritten bullet suggestions.
Guest files are not persisted; signed-in users save roasts to dashboard history.
Pro unlocks unlimited usage and extended career tools.

ATS optimization process

Applicant Tracking Systems (ATS) parse resumes into structured fields. MyCVRoast flags formatting that breaks parsers (multi-column tables, headers in images, missing section labels) and suggests keyword alignment without stuffing.

Detect section structure: experience, education, skills, projects
Flag parseability issues common in Canva or multi-column templates
Suggest measurable bullet rewrites with role-relevant keywords
Live ATS score in the resume builder while editing

Definitions

Resume Roast: A resume roast is AI feedback that quotes your actual CV bullets and explains what recruiters skip in a six-second scan — more specific than generic resume review templates.
ATS (Applicant Tracking System): Software used by employers to parse, rank, and filter job applications. MyCVRoast checks formatting, keywords, and parseability for ATS compatibility.
Hinglish: Natural Hindi-English mix used in Indian workplaces. MyCVRoast can deliver roast feedback in Hinglish tone for fresher and campus placement contexts.
Resume Score: A 0–10 rating generated from structure, content quality, ATS signals, and recruiter readability.
Keyword Optimization: Aligning resume skills and experience bullets with job-description keywords without keyword stuffing.

AI limitations

AI feedback is advisory — not a guarantee of interview callbacks or job offers.
Roast quality depends on extractable text from uploaded PDF; scanned image-only PDFs may parse poorly.
Guest roasts are not stored server-side; sign in to save history.
Pro tools require account and one-time payment.
Not a substitute for licensed career counseling or legal employment advice.

See also privacy policy and why trust us.

Methodology FAQ

What AI models does MyCVRoast use?: We use large language models via secure API calls. Exact model versions may change as providers improve quality and cost.
Is my resume stored?: Guest uploads are processed and not persisted. Signed-in users can save roast history to their dashboard account.
How is the score calculated?: The score reflects structure, content quality, ATS parseability signals, and recruiter readability — presented as /10 with explained factors.