Build a Full-Stack AI Resume Analyzer App | MERN, React, Node.js, MongoDB

Full-Stack AI Resume Analyzer App. Here are the functionalities implemented in this project:

1. User Authentication – Secure register & login with JWT in httpOnly cookies and bcrypt password hashing

2. Resume Upload – PDF upload with multer (memory storage), 5MB limit, and PDF-only validation

3. PDF Text Extraction – Pulls clean text from resumes with pdf-parse, with scanned/image-only PDF detection

4. AI Structured Parsing – Google Gemini turns raw resume text into clean JSON sections (basics, experience, education, skills, projects, certifications) using structured output + Zod validation

5. ATS Scoring – AI scores the resume 0–100 with a breakdown across keywords, formatting, impact, and clarity

6. AI Issues & Strengths – 5 prioritized issues with severity and fixes, plus 5 evidence-based strengths

7. AI Bullet Rewrites – 5–10 weak bullets rewritten to be stronger, quantified, and ATS-friendly, each with a rationale

8. Keyword Analysis – Detects keywords present and notable keywords missing for the target role

9. Version History – Every upload and rewrite saved as an immutable version (V1, V2, V3…) with full history

10. Apply Rewrites → New Version – One click applies selected (or all) AI rewrites and creates a fresh version

11. Version Diff – Word-level and line-level diff to compare any two versions side by side

12. Dashboard – Totals, latest resume, score evolution chart, version stack, KPI cards with sparklines, and an activity feed

13. Insights Page – Average & best scores, score trend, top recurring issues, top missing/present keywords, and per-resume performance

14. Versions & History Pages – Flat version list with filters, plus a chronological event feed of the whole account

15. Rate Limiting & Validation – Per-user AI rate limits and Zod request validation across every route

16. Light & Dark Mode – Soft-minimal responsive UI with theme persistence

Watch Video: https://youtu.be/U5E8_Wwmg2A

The Source Code is provided in a Zip file.