{
  "id": 17215071,
  "title": "Building an ATS Resume Scorer API with FastAPI, Celery, and Docker",
  "url": "https://urgent.news/2026/10/30/building-an-ats-resume-scorer-api-with-fastapi-celery-and-docker",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-30T11:00:34.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/priyadharshiny13/building-an-ats-resume-scorer-api-with-fastapi-celery-and-docker-3e8k"
  },
  "original_language": "en",
  "account": "Building an ATS Resume Scorer API with FastAPI, Celery, and Docker is a project that aims to help job seekers improve their resumes by providing a backend API that checks how well a resume matches a job description. The system begins by parsing PDF resumes using pdfplumber to extract text from uploaded documents.\n\nThe API then performs ATS keyword matching to compare the resume against a job description and calculates a match score. This score indicates how closely the candidate's skills and experiences align with the requirements of the position. To enhance the resume further, the system generates smart suggestions that provide actionable tips for improvement, tailored to a specific role.\n\nTo ensure the API remains secure and efficient, it implements JWT authentication, offering role-based access control. Job Seekers and Recruiters each have distinct permissions within the same platform, allowing for a secure exchange of information.\n\nFor handling multiple resumes simultaneously, the system utilizes batch scoring. This feature processes numerous resumes in the background, managed by Celery and Redis, ensuring that the API remains responsive even under heavy loads. The technology stack behind this project includes Python and FastAPI for the backend, JWT for authentication, MySQL 8.0 with SQLAlchemy ORM and Alembic for database management, Celery and Redis for task queuing, and Docker along with Docker Compose for containerization and deployment.\n\nThe entire setup is designed to be reproducible and easy to manage. With a single Docker Compose command, developers can launch the entire stack, including the API, MySQL, and Redis. Additionally, GitHub Actions are employed for continuous integration and deployment, automatically deploying the API to AWS EC2 servers.\n\nDatabase schema changes are handled with Alembic, a tool that manages version-controlled database migrations. Developers can explore the source code on GitHub at https://github.com/priyadharshiny13/ats-resume-scorer.\n\nWhen utilizing a tool like this ATS Resume Scorer API, the key factor that would matter more to job seekers depends on their priorities. Some might find a more accurate match score vital, as it would provide a clearer indication of how well their skills and experiences align with the job requirements. Others may prioritize detailed improvement suggestions, which could guide them in making targeted adjustments to their resumes to better match the desired role. Ultimately, the balance between these two aspects would determine the tool's effectiveness in helping job seekers stand out in the competitive job market.",
  "summary": "Most resumes are filtered by ATS software before a human ever reads them. This project is a backend API that checks how well a resume matches a job description and suggests how to improve it. What it does PDF resume parsing: extracts text from uploaded resumes using pdfplumber ATS keyword matching: compares the resume against a job description and calculates a match score Smart suggestions:…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}