Resume ATS Score Booster

A FastAPI-based application that accepts a resume PDF, extracts its text, and returns an ATS-focused analysis with feedback and rewritten bullet points.

• Upload a PDF resume through a FastAPI endpoint
• Extract text from the PDF using PyMuPDF
• Analyze the content with Gemini (when configured)
• Store analysis results in a local SQLite database
• Return structured ATS feedback and rewritten bullet suggestions

config/                 # Settings and environment configuration
src/
  api/                  # API routes
  services/             # PDF parsing and LLM analysis
  schemas/              # Pydantic response models
  models.py             # SQLAlchemy models
  database.py           # Database setup
  main.py               # FastAPI app entry point
requirements.txt
.env

1. Create and activate a virtual environment

cd /Users/pratimabhat/Documents/Projects/resume-ats-score-booster
python3 -m venv venv
source venv/bin/activate

2. Install dependencies

pip install -r requirements.txt

3. Configure environment variables

Edit the .env file and set your Gemini API key:

GEMINI_API_KEY=your_gemini_api_key_here

4. Run the app

uvicorn src.main:app --reload

The API will be available at:

• http://127.0.0.1:8000/health
• http://127.0.0.1:8000/pipeline/upload

Upload a PDF using curl:

curl -X POST "http://127.0.0.1:8000/pipeline/upload" \
  -F "file=@path/to/resume.pdf"

• The app uses SQLite and creates the database file automatically on startup.
• If the Gemini API key is not configured, the app uses a safe fallback analysis instead of failing.