🚀 Try Resume Refiner Now - Transform your resume with AI
Resume Refiner is an innovative AI-powered platform that transforms the way job seekers optimize their resumes. By leveraging advanced natural language processing and GPT-4 technology, it analyzes both resumes and job descriptions to create perfectly tailored applications that stand out to hiring managers and ATS systems.
Key highlights:
- 🎯 Smart matching technology aligns your resume with specific job requirements
- 🤖 AI-powered suggestions enhance your professional narrative
- 📊 ATS optimization ensures your resume gets past automated screening
- ⚡ Real-time analysis and instant feedback
- 🔒 Secure document handling with enterprise-grade privacy
Created by J&S Group, LLC, Resume Refiner combines cutting-edge AI with proven resume optimization techniques to give job seekers a competitive edge in today's dynamic job market.
- PDF resume upload and parsing
- AI-powered resume analysis
- Job description matching
- Modern UI with ShadcnUI components
- Data persistence with Supabase
- Dark mode support
Before you begin, ensure you have:
- Node.js 18+ and npm
- A Supabase account
- An OpenAI API key
- Git (for version control)
# Clone the repository
git clone https://github.com/yourusername/resume-refiner.git
cd resume-refiner
# Install dependencies
npm install- Create a new project at Supabase
- Navigate to Project Settings > Database
- Copy your project URL and anon/public key
- Open the SQL Editor
- Copy and paste the contents of
supabase/schema.sql - Execute the SQL to create the database schema
- Create an account at OpenAI Platform
- Navigate to API Keys in your account settings
- Generate a new API key
- Make sure billing is configured for API usage
Create a .env.local file in the project root:
# Supabase Configuration
NEXT_PUBLIC_SUPABASE_URL=your-project-url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key
# OpenAI Configuration
OPENAI_API_KEY=your-openai-key# Start development server
npm run dev
# Build for production
npm run build
# Start production server
npm startresume-refiner/
├── src/
│ ├── app/ # Next.js 13 app directory
│ │ ├── api/ # API routes
│ │ ├── upload-resume/ # Resume upload page
│ │ └── page.tsx # Landing page
│ ├── components/ # React components
│ │ └── ui/ # Shared UI components
│ ├── lib/ # Utilities
│ └── types/ # TypeScript definitions
├── docs/ # Documentation
└── supabase/ # Database schema
- Frontend: Next.js 13 (App Router), TypeScript, Tailwind CSS
- UI Components: ShadcnUI
- Backend: Supabase (PostgreSQL)
- AI: OpenAI GPT-4
- PDF Processing: pdf-parse
- Deployment: Vercel
-
TypeScript
- Use strict type checking
- Define interfaces for all data structures
- Avoid using
anytype
-
Components
- Use functional components
- Implement proper error boundaries
- Follow ShadcnUI patterns
-
API Routes
- Handle errors gracefully
- Validate input data
- Use appropriate HTTP methods
-
Database
- Follow schema definitions
- Use proper error handling
- Implement RLS policies
-
PDF Parsing Errors
- Ensure PDF files are valid
- Check file size limits
- Verify file permissions
-
OpenAI API Issues
- Check API key validity
- Monitor rate limits
- Handle timeout errors
-
Supabase Connection
- Verify environment variables
- Check RLS policies
- Monitor connection pool
Please see our Contributing Guide for details on how to contribute to this project.
This project is licensed under a custom non-commercial license. See the LICENSE file for details. For commercial licensing opportunities, please contact J&S Group, LLC.
For support, please:
- Check the documentation in the
docs/directory - Review common issues above
- Open an issue on GitHub
- Created and maintained by J&S Group, LLC
- Built with Next.js and Supabase
- UI components from ShadcnUI