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