RAISHUBHAM3803/resume-analyzer

A full‑stack application that analyzes PDF resumes for Applicant Tracking System (ATS) compatibility and provides AI-driven improvement suggestions. Intended for job seekers (and hiring coaches) who want to optimize resumes against specific job descriptions and prepare for interviews. Key features: - Automated PDF parsing (pdf-parse) to extract resume text. - ATS scoring algorithm that weights skills, experience, and keywords. - AI feedback engine using Google Gemini to generate revision tips and mock interview questions. - Responsive React dashboard to view results and history. - MongoDB persistence (Mongoose) and secure JWT authentication. - Resume Gatekeeper: AI-powered document validation with heuristic fallback. Tech: React/Vite frontend, Node/Express backend, Multer for uploads, MongoDB, Google Gemini. Local setup requires Node.js and MongoDB; backend and frontend run separately with environment variables for MONGO_URI and GEMINI_API_KEY.

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