🎯 ResumeTuner – AI-Powered Resume Optimizer

ResumeTuner is a FastAPI-based backend service that uses OpenAI's gpt-5-nano model to generate and optimize resumes tailored to specific job descriptions. It helps align resumes with modern hiring systems, including ATS (Applicant Tracking Systems), recruiter filters, and AI resume screeners.

✨ Resume generation from job posting using AI

🧠 Resume optimization for ATS and AI hiring pipelines

🖥️ User-friendly web interface built with React and Tailwind CSS

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📁 1. Clone the Repository

git clone https://github.com/0xCompileError/resume-tuner.git
cd resume-tuner

🖥️ 2. Backend Setup (FastAPI)

✅ 2.1 Create a virtual environment and install dependencies

cd backend
python -m venv venv
source venv/bin/activate   # On Windows: venv\Scripts\activate
pip install -r requirements.txt

🔐 2.2 Set Up Your API Key

Create a .env file in the backend root:

OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

▶️ 2.3 Run the API Server

Use the included Makefile for easy startup:

make run

The server will be available at http://127.0.0.1:8000.

Swagger docs: http://127.0.0.1:8000/docs

✨ 2.4 Example of CLI

curl -X POST "http://127.0.0.1:8000/analyze/?latex=true" \
  -F "resume=@resume.txt" \
  -F "job=@job.txt" \
  -F "latex_format=@format_template.txt"

🌐 3. Frontend Setup (React + Vite + Tailwind CSS)

✅ 3.1 Install dependencies

cd ../frontend
npm install

▶️ 3.2 Run the development server

VITE_API_BASE=http://127.0.0.1:8000 npm run dev

The frontend will be available at http://localhost:5173.

📬 4. Contributions & Support

Feel free to open an issue or submit a pull request with improvements. Feature ideas, bug reports, and feedback are always welcome!

📄 5. License

MIT License © 2025 – 0xCompileError