AI Resume Optimizer
A focused tool that compares a resume with a specific job description and suggests clear, honest improvements to structure, relevance and keyword alignment.
Clarify the impact of your API work in the role summary.
Interface shown is a conceptual illustration. This is an internal product in progress, not a launched product.
The Problem
Strong candidates are often filtered out because their resumes don’t clearly reflect the role they’re applying for, or aren’t structured in a way applicant tracking systems parse well.
The Opportunity
Language models are well suited to comparing documents and suggesting targeted edits — as long as the output stays truthful to the candidate’s real experience.
Product Concept
Upload a resume, paste a job description, and receive a structured gap analysis with suggested rewrites the candidate can accept, edit or reject.
Experience
- 01
Provide inputs
A resume and a target job description.
- 02
Review the analysis
Alignment, missing skills and structural issues are highlighted.
- 03
Edit with suggestions
Suggested rewrites are reviewed line by line.
Planned Features
Job-description matching
Relevance analysis against a specific role.
ATS-friendly structure
Checks for formatting and section clarity.
Truthful rewrites
Suggestions based only on the candidate’s real experience.
Export
Clean output ready for applications.
Architecture
- L1ParsingResume text extraction and section detection.
- L2AnalysisStructured LLM output comparing resume and role.
- L3EditorInteractive suggestion review in the browser.
- L4StorageUser documents stored securely per account.
Technology
- Next.js
- TypeScript
- AI SDK
- Structured output
- PostgreSQL
- File parsing
Current Status
In development. Core analysis flow and suggestion editor are being built.
What's Next
- Finish the suggestion editor
- Improve parsing for varied resume formats
- Prepare a private test release
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