• 📄 Upload PDF resumes and get instant AI analysis
• 📊 Receive ATS (Applicant Tracking System) compatibility scores
• 💪 Detailed breakdown of strengths and weaknesses
• 🎯 Personalized improvement recommendations
• 📈 Track analysis history and progress over time

• 🤝 AI-driven job matching based on your skills
• 🎖️ Matching scores (0-100) for each opportunity
• 📍 Remote, hybrid, and on-site options
• 💰 Salary estimates and experience level requirements
• 🚀 Next steps and application strategies

• 🧠 AI-generated questions based on your skill gaps
• 📝 Multi-category assessments (Technical, Leadership, Soft Skills)
• ✅ Detailed explanations for every answer
• 📊 Performance analytics and progress tracking
• 🎯 Targeted learning for maximum improvement

• 🏆 Achievement tracking and badges
• 📊 Visual analytics with charts and graphs
• 📅 Career milestone timeline
• 🔔 Smart notifications for new opportunities
• 📱 Responsive design for all devices

• 🔑 JWT-based secure authentication
• 🌐 Google OAuth 2.0 integration
• 🖼️ Profile picture upload via Cloudinary
• ⚡ Rate limiting for API security
• 🛡️ Environment validation and error handling

• ⚛️ React 19 + Vite - Lightning-fast development
• 🎨 Tailwind CSS 4 + shadcn/ui - Beautiful, accessible components
• 🎭 Framer Motion - Smooth animations and transitions
• 🧭 React Router DOM - Client-side routing
• 📡 Axios - HTTP client for API calls
• 📊 Recharts - Data visualization and charts

• 🚀 Node.js + Express.js - Fast, scalable server
• 🗄️ MongoDB + Mongoose - NoSQL database with ODM
• 🔐 JWT + Passport.js - Secure authentication with Google OAuth
• 📤 Multer + Cloudinary - File upload and cloud storage
• 🛡️ Express Rate Limiter - API security and abuse prevention
• ⚠️ Custom Error Handler - Centralized error management

• 🤖 Google Generative AI (Gemini) - Advanced language model for analysis
• 📄 pdf-parse - Extract text from PDF resumes
• 🌐 RESTful API - Clean, maintainable API architecture

# Navigate to backend folder
cd backend

# Install dependencies
npm install

# Create .env file in backend directory
# Copy and paste the following configuration:

Create backend/.env file:

# Server Configuration
PORT=5000
FRONTEND_URL=http://localhost:5173

# Database
MONGODB_URI=mongodb://localhost:27017/resumeup
# Or use MongoDB Atlas:
# MONGODB_URI=your_mongoDB_link

# Authentication
JWT_SECRET=your_super_secret_jwt_key_change_this_in_production
SESSION_SECRET=your_session_secret_key

# Google OAuth 2.0 (Get from: https://console.cloud.google.com/)
GOOGLE_CLIENT_ID=your_google_client_id.apps.googleusercontent.com
GOOGLE_CLIENT_SECRET=your_google_client_secret

# Google Gemini AI (Get from: https://ai.google.dev/)
GOOGLE_API_KEY=your_gemini_api_key

# Cloudinary (Get from: https://cloudinary.com/console)
CLOUDINARY_CLOUD_NAME=your_cloud_name
CLOUDINARY_API_KEY=your_cloudinary_api_key
CLOUDINARY_API_SECRET=your_cloudinary_api_secret

# Start backend server
npm run dev

# You should see:
# ✅ MongoDB Connected Successfully
# ✅ Server is running on port 5000

# Open new terminal and navigate to frontend
cd frontend

# Install dependencies
npm install

# Create .env file in frontend directory

Create frontend/.env file:

# API Base URL
VITE_API_BASE_URL=http://localhost:5000/api

# Start frontend development server
npm run dev

# You should see:
# ✅ Local: http://localhost:5173/

🎉 Your app is now running!

• 🌐 Frontend: http://localhost:5173
• 🔧 Backend API: http://localhost:5000/api
• ❤️ Health Check: http://localhost:5000/api/health

1. Visit Google AI Studio
2. Click "Get API Key"
3. Create a new project or select existing
4. Copy your API key and paste in .env

1. Go to Google Cloud Console
2. Create a new project
3. Enable Google+ API
4. Go to Credentials → Create Credentials → OAuth 2.0 Client ID
5. Set Authorized redirect URIs:
   • http://localhost:5000/auth/google/callback
6. Copy Client ID and Client Secret to .env

1. Sign up at Cloudinary
2. Go to Dashboard
3. Copy Cloud Name, API Key, and API Secret
4. Paste them in your .env file

Option A: Local MongoDB

# Install MongoDB locally and run:
mongod

Option B: MongoDB Atlas (Cloud)

1. Sign up at MongoDB Atlas
2. Create a free cluster
3. Get connection string
4. Replace <password> with your database user password
5. Paste in .env as MONGODB_URI

1. Fork the repository
2. Clone your fork:

   git clone https://github.com/your-username/ResumeUp.AI.git

3. Create a feature branch:

   git checkout -b feature/amazing-feature

4. Commit your changes:

   git commit -m "Add some amazing feature"

5. Push to the branch:

   git push origin feature/amazing-feature

6. Open a Pull Request