Transform your resume with AI-powered analysis and optimization. Get professional, ATS-friendly resumes in minutes.

• ** Resume Upload & Analysis** - Upload PDF or DOCX resumes for instant AI-powered feedback
• ** LinkedIn Profile Analysis** - Analyze LinkedIn profiles directly with URL input
• ** GPT-4o Integration** - Leverage OpenAI's latest model for intelligent resume optimization
• ** Professional PDF Generation** - Create beautifully formatted, ATS-compatible resumes
• ** Detailed Scoring** - Get comprehensive scores across multiple resume categories
• ** ATS Optimization** - Ensure your resume passes Applicant Tracking Systems
• ** Personalized Recommendations** - Receive actionable feedback to improve your resume

Coming soon - Add screenshots of your app here

• React.js - UI framework
• CSS3 - Styling with modern design
• Fetch API - HTTP requests

• Node.js - Runtime environment
• Express.js - Web framework
• MongoDB Atlas - Cloud database
• OpenAI GPT-4o - AI analysis engine
• Puppeteer - PDF generation
• Multer - File upload handling
• PDF-Parse - PDF text extraction
• Mammoth - DOCX file processing

• Node.js (v18 or higher)
• MongoDB Atlas account (free tier available)
• OpenAI API key

1. Clone the repository

   git clone https://github.com/ramadanrexhepi/ResuMind.git
   cd ResuMind

2. Install backend dependencies

   cd backend
   npm install

3. Install frontend dependencies

   cd ../frontend
   npm install

4. Configure environment variables

   Create a .env file in the backend directory:

   PORT=5050
   MONGODB_URI=mongodb+srv://your_username:your_password@cluster0.xxxxx.mongodb.net/resumind
   OPENAI_API_KEY=sk-your-openai-api-key-here
   NODE_ENV=development

5. Start the backend server

   cd backend
   npm start

Backend will run on http://localhost:5050

6. Start the frontend (in a new terminal)

   cd frontend
   npm start

Frontend will run on http://localhost:3000

1. Upload Your Resume

   • Navigate to the upload page
   • Choose a PDF or DOCX file
   • Click "Analyze Resume"

2. Or Analyze LinkedIn Profile

   • Enter your LinkedIn profile URL
   • Click "Analyze Profile"

3. Review Analysis

   • View detailed scores and feedback
   • Read personalized recommendations

4. Generate Optimized Resume

   • Click "Generate Optimized Resume"
   • Download your professional PDF

POST /api/analyze-resume
Content-Type: multipart/form-data

Parameters:
- resume: File (PDF or DOCX)

POST /api/analyze-linkedin
Content-Type: application/json

Body:
{
  "linkedinUrl": "https://www.linkedin.com/in/username"
}

POST /api/generate-resume
Content-Type: application/json

Body:
{
  "resumeText": "Full resume text...",
  "linkedinUrl": "Optional LinkedIn URL"
}

ResuMind/
├── backend/
│   ├── server.js           # Express server
│   ├── routes/            # API routes
│   ├── uploads/           # Temporary file storage
│   ├── package.json
│   └── .env               # Environment variables (not in repo)
├── frontend/
│   ├── public/            # Static files
│   ├── src/
│   │   ├── components/    # React components
│   │   ├── App.js        # Main app component
│   │   └── index.js      # Entry point
│   └── package.json
├── .gitignore
└── README.md

• Large file uploads (>10MB) may timeout
• LinkedIn scraping may be rate-limited

• Multiple resume templates
• Resume comparison feature
• Job description matching
• Cover letter generation
• Multi-language support
• Mobile app

This project is licensed under the MIT License - see the LICENSE file for details.

Ramadan Rexhepi

• GitHub: @ramadanrexhepi
• Portfolio: ramadanrexhepi.dev
• LinkedIn: linkedin.com/in/ramadanrexhepi

• OpenAI for GPT-4o API
• MongoDB Atlas for cloud database
• Create React App for frontend boilerplate