Analysis updated 2026-05-18
Paste a job description to automatically rewrite your resume bullet points and summary to match the role.
Import an existing resume file and have AI parse it into a structured, editable profile.
Export a tailored resume as a .docx file formatted for ATS systems and recruiters.
| lakshminarayana2003/resume-tailor | arashthr/hugo-flow | argeneau12e/kairos-tx | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 3/5 | 3/5 | 4/5 |
| Audience | general | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a free Google Gemini API key from Google AI Studio before the app will run.
This is a web app that helps job seekers customize their resumes for specific job postings. You enter your work history, education, skills, and contact details through a guided setup wizard, and the app stores that as your base profile. When you want to apply for a role, you paste in the job description and the app uses Google's Gemini AI to rewrite your summary, rephrase your bullet points, and highlight skills relevant to that specific position. You can also import an existing resume by dragging in a text file or pasting resume text directly, and the AI will parse it and convert it into the app's internal format. This is useful if you already have a resume and want to skip the manual entry step. Once your resume is tailored, you export it as a Word document (.docx). The app generates this file with formatted styles, ready to send to a recruiter or an applicant tracking system. The backend runs on Node.js with Express and handles all Gemini API calls server-side, so your API key is never sent to the browser. The frontend is a single-page app built with React 19 and Vite. If one Gemini model is unavailable, the backend automatically tries several fallback models before giving up, which the README calls a resilient model fallback engine. To set it up you need Node.js 18 or later and a Google Gemini API key, which is available free from Google AI Studio. You install dependencies with npm install, create a .env file with your API key, and start the development server. The README does not specify a license for this project.
A web app that rewrites your resume to match a job description using Google Gemini AI, then exports the tailored result as a formatted Word document ready for recruiters.
Mainly TypeScript. The stack also includes TypeScript, React, Node.js.
No license is specified in the README.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.