This is not a promise of employment. It is a guided CV readiness and ATS compatibility service that helps the user present real experience more clearly.
ATS SERVICE
Make your CV easier for hiring systems and recruiters to understand.
AndyAI ATS Service helps applicants improve CV structure, keywords, role fit, skill proof, and readability before applying for jobs.
Applicant-facing ATS service
From old CV to ATS-ready career presentation.
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CV parsing
Read the CV and separate profile, experience, education, skills, tools, certificates, languages, projects, and achievements.
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Keyword and jargon scan
Find whether the CV uses the right words for the target role: technologies, tools, job titles, methods, industry terms, and soft-skill phrases.
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Job match review
Compare the CV against the role description and identify missing terms, weak evidence, unclear claims, and better positioning.
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Improvement guidance
Explain what to improve next: wording, structure, achievements, proof, programming skills, language ability, portfolio, or certificates.
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ATS-ready output
Prepare a cleaner CV direction with stronger headings, skill alignment, role-specific wording, and human-approved facts.
ATS signals
What the system can look for.
Exact keyword matchSynonym and related skill matchTechnology/tool detectionJob title alignmentIndustry jargon recognitionYears of experience signalsEducation/certificate signalsLanguage level signalsProject proof signalsMissing keyword warningsUnsupported claim warningsCV structure quality
Core idea
Find the right word or jargon in thousands of CVs in no-time.
This becomes a strong search-and-matching layer for both applicants and agencies: exact terms, synonyms, related skills, role language, and industry-specific vocabulary.
CV Keyword / Jargon Finder
The enabler layer for fast candidate and skill discovery.
Right word finder
Locate the exact word, phrase, tool, technology, certificate, or industry jargon inside thousands of CVs quickly.
Synonym expansion
Find candidates even when they use different wording, such as customer support, client service, help desk, or support desk.
Skill ontology
Group related skills into clusters, for example React, Next.js, TypeScript, frontend, UI engineering, and JavaScript.
Boolean + semantic search
Support precise recruiter-style search and broader meaning-based search for candidates who may describe the same ability differently.
Role-to-CV matcher
Compare a job description against a CV collection and show the best matches, missing skills, and recommended shortlist.
Explainable match reasons
Show why a candidate was matched: keywords found, relevant experience, proof signals, and missing requirements.
Business value