sanketthecodecrafter/airesumeanalyzer — explained in plain English
Analysis updated 2026-05-18
Upload a resume and job description to get a match score and skill gap analysis.
Generate personalized technical and behavioral interview questions for a specific role.
Get an action plan of concrete steps to improve a resume's fit for a job.
| sanketthecodecrafter/airesumeanalyzer | abhishek-akkal/finova | adan-shahid/ecommerce_website | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | JavaScript | JavaScript | JavaScript |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 1/5 | 3/5 |
| Audience | general | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a Google Gemini API key, MongoDB instance, and separate frontend and backend npm installs.
AI Resume Analyzer is a web application that helps job seekers improve their resumes and prepare for interviews using AI. The core problem it solves is the gap between what a candidate's resume says and what a specific job actually requires. Instead of guessing whether your resume is a good fit, you upload it as a PDF along with the job description you are targeting, and the app tells you where you stand. The app uses Google's Gemini AI to read your resume, compare it against the job posting, and produce a match score along with a skill gap analysis, showing what strengths you already have and what areas need work. It also generates personalized interview questions tailored to your profile and the specific role, plus a set of concrete steps for improving your chances. On the technical side, the frontend is built with React and Vite, styled with Tailwind CSS, and uses Framer Motion for animations. The backend runs on Node.js with Express and stores data in MongoDB. Authentication supports both email and password login, secured with bcrypt and JWT cookies, as well as Google OAuth for one click sign in. File uploads are handled through Multer with validation in place, and the backend includes rate limiting to guard against abuse along with schema validation on incoming requests. The project follows a feature based folder structure on the frontend and a controller, service, and route separation on the backend, which the README describes as making the codebase easier to test and extend as it grows. You would reach for this tool when preparing for a job application and wanting concrete feedback on whether your resume matches a posting, or when looking for a tailored set of interview questions to practice with before an interview. The full README is longer than what was shown.
An AI web app that compares your resume against a job description to score the match, highlight skill gaps, and generate personalized interview questions.
Mainly JavaScript. The stack also includes React, Node.js, Express.
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.