XResume AI: AI-Powered Resume Generator

XResume AI is an intelligent, user-friendly platform for generating, customizing, and scoring resumes tailored to job descriptions. With AI assistance and powerful customization tools, users can easily optimize their resumes for any job application.

Features

• Resume Upload: Upload your existing resume in PDF or DOCX format.
• Job Description Upload: Add job descriptions to tailor your resume to specific roles.
• AI-Powered Resume Generation: Generate a resume that aligns with the uploaded job description.
• Customization Tools: Edit and customize your resume using a drag-and-drop interface.
• Resume Scoring: Get actionable feedback with a comprehensive resume score.

Tech Stack

• Frontend: Next.js (TypeScript)
• Backend: Supabase and Node.js
• Database: PostgreSQL with Prisma ORM
• AI: OpenAI for language processing
• CI/CD: GitHub Actions
• Task Orchestration: Kestra

Installation

Prerequisites

• Docker installed on your system.
• Node.js and npm/yarn (for local development).

Setup with Docker

1. Clone the repository:

   git clone https://github.com/Suraj-kumar00/xresume-ai.git
   cd xresume-ai

2. Create a .env file from the template:

   cp .env.example .env
   

3. Update environment variables in the .env file.

4. Start the application:

   docker run 'command'
   

5. Access the app at http://localhost:3000.

Local Development

1. Install dependencies:

   npm install
   

2. Start the development server:

   npm run dev

---

Kestra Integration

To use Kestra for managing complex workflows like resume generation, scoring, and AI model interaction:

1. Install Kestra:

   • Follow the installation guide: Kestra Documentation.

2. Define workflows for resume generation and scoring in the kestra/ directory:

   • Example workflow:

     id: generate-resume
     namespace: resumegen
     tasks:
       - id: upload-resume
         type: io.kestra.task.upload.file
         properties:
           - key: resume
             value: "{{inputs.resume}}"
     

3. Start the Kestra server and execute workflows as needed.

---

🤝 Contributing

For more details, check out the CONTRIBUTING.md file.

📜 License

This project is licensed under the MIT License.

🌟 Show Your Support

If you like the project, please give it a ⭐️ on GitHub!