CV Validation System

A web application that validates CV/resume information by comparing user-submitted form data against the content of an uploaded PDF document. Built with the T3 Stack.

Features

• Form-based Data Entry: Users input their personal information including name, email, phone number, skills, and experience
• PDF Upload: Support for PDF CV/resume uploads with text extraction
• Intelligent Validation: Advanced text matching algorithms that compare form data against PDF content
• Detailed Feedback: Provides specific information about which fields match or don't match the uploaded document
• Real-time Processing: Instant validation results with loading states

How It Works

1. Fill the Form: Enter your personal details in the web form
2. Upload PDF: Select and upload your CV/resume in PDF format
3. Automatic Validation: The system extracts text from your PDF and compares it with your form data
4. Get Results: Receive detailed feedback on matches and mismatches

Tech Stack

• Framework: Next.js 15 with App Router
• Database: PostgreSQL with Prisma ORM
• API: tRPC for type-safe API layer
• Styling: Tailwind CSS v4
• PDF Processing: pdf-parse for text extraction
• Validation: Zod schemas for runtime type checking

Getting Started

Prerequisites

• Node.js 18+
• PostgreSQL database
• npm or yarn

Installation

1. Clone the repository

2. Install dependencies:

   npm install

3. Set up environment variables:

   cp .env.example .env

   Edit .env and configure your database URL:

   DATABASE_URL="postgresql://postgres:password@localhost:5432/validate-cv"
   

4. Set up the database:

   npm run db:push

5. Start the development server:

   npm run dev

Open http://localhost:3000 to view the application.

Development Commands

npm run dev          # Start development server
npm run build        # Build for production
npm run start        # Start production server
npm run lint         # Run ESLint
npm run typecheck    # Run TypeScript type checking
npm run db:studio    # Open Prisma Studio

Validation Algorithm

The system uses sophisticated text matching to validate CV content:

• Text Normalization: Removes special characters and normalizes whitespace
• Flexible Phone Matching: Compares last 7 digits of phone numbers
• Skills Validation: Individual validation of comma-separated skills
• Experience Matching: Word-based matching with configurable similarity thresholds
• Fuzzy Matching: Handles variations in formatting and minor discrepancies

Learn More

To learn more about the T3 Stack and its components:

• T3 Stack Documentation
• Next.js Documentation
• tRPC Documentation
• Prisma Documentation

Deployment

This application can be deployed on platforms like Vercel, Netlify, or any Node.js hosting service. Make sure to:

1. Set up a PostgreSQL database
2. Configure environment variables
3. Run database migrations
4. Build the application

For detailed deployment guides, see the T3 Stack deployment documentation.