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Dhruvi Naik · @dnaik

Github Profile

From github.com

I built an AI-powered resume screening and candidate evaluation system for recruiters. It is a monorepo with a Node.js backend and a React frontend, and its resume parsing and candidate scoring are described as simulations.

I started this repository in 2026-05.

My resume-screening system is described as an intelligent platform for recruiters to manage jobs, automatically parse uploaded candidate resumes, and rank candidates using mock AI metrics against required job skills.

My frontend stack is React (Vite), Zustand (State), Axios, Lucide React (Icons); premium Vanilla CSS Glassmorphism.

My backend stack is Node.js, Express, TypeScript, Prisma (ORM for SQLite/PostgreSQL), Multer (File upload), JWT (Authentication).

I use SQLite (embedded via Prisma) for ease of testing; can easily be switched to PostgreSQL as the system's database.

  • Implemented features include JWT Based Authentication (Recruiter Login & Registration), AI File Uploading & Parsing Simulation, Match Scoring Engine (simulated AI), Job Listings Dashboard, Candidate Management per Job, and Premium UI Aesthetics.

To run the backend, I install its dependencies, push the Prisma database schema, and start the development server. The exact setup sequence is recorded below.

Backend setup sequence: cd backend; npm install; npx prisma db push; npm run dev
Frontend setup sequence: cd frontend; npm install; npm run dev

I open the local frontend at http://localhost:5173.

For local use, I register an account, create a sample job, and upload a PDF or Docx resume.

The README does not explain the implementation behind resume parsing, match scoring, NLP, authentication, or candidate ranking. It also provides no PostgreSQL migration instructions or measured system results.

I use the GitHub account @dhruvinaik. My profile lists repositories spanning AI resume screening, a portfolio, chatbots, Python games, TF-IDF keyword extraction, financial data extraction, QR-code attendance management, and churn prediction.

I have been on GitHub since 2024.

I have 2 followers on GitHub.

My profile lists 9 repositories.

My ai-resume-screening-system repository is described as AI-powered Resume Screening & Candidate Evaluation System using React, Express, Prisma, NLP; JavaScript; last updated 2026-05.

My Portfolio repository is described as HTML; last updated 2026-04.

My Chatbot repository is described as Python; last updated 2026-04.

My Py-game repository is described as Cosmic heat is an python game; Python; last updated 2026-04.

My Python-game repository is described as Battle Clash basic Python game; Python; last updated 2026-04.

My TF-IDF repository is described as Extracting keywords from TF-IDF; Python; last updated 2026-04.

My Data-Extractor-app repository is described as Financial Data Extractor app; Python; last updated 2026-04.

My AS-QR repository is described as Attendance Management System Using QR-Code; Hack; last updated 2026-04.

My churn-prediction repository is described as Python; last updated 2026-04.

Across my listed repositories, the Python language count is 6.

Across my listed repositories, the HTML language count is 1.

Across my listed repositories, the Hack language count is 1.

Across my listed repositories, the JavaScript language count is 1.