Resume Ranking System

Overview

The Resume Ranking System is a powerful tool designed to streamline the recruitment process by automatically evaluating and ranking resumes based on relevant criteria.

Architecture

System Architecture

Features

• Job Analysis:

  • Manage JDs
  • Analyze JDs to standard forma
  • Multilingual Support.
  • Average runtime: 30 seconds

• Candidate Analysis:

  • Upload and manage CVs (PDF/ Word)
  • Extract Personal information.
  • Analyze CVs to standard format.
  • Multilingual Support.
  • Average runtime: 60 seconds

• Matching Analysis:

  • Manage candidates & jobs with a many-to-many relationship
  • Analyze and score candidate based on each key field.
  • Average runtime: 30 seconds

• Score, Rank & Comment:

  • Provides a summary analysis of the matching between candidates and jobs
  • Score and rank candidate.

Documentation

Detailed documentation on how to use, configure, and extend the system is available in the User Guide.

Video Demo

For a visual walkthrough of the system's functionality, check out our Video Demo.

Getting Started

Follow these steps to get the Resume Ranking System up and running:

1. Clone the Repository:

   git clone https://github.com/vectornguyen76/resume-ranking.git

2. Update environment:

   • Update OPENAI_API_KEY in analysis_service/.env

     OPENAI_API_KEY="your-key"

   • Update IP Address in frontend/.env.production

     NEXT_PUBLIC_API_URL=http://<your-ip-address>/backend

3. Install Dependencies:

   cd resume-ranking
   docker compose build

4. Run the System:

   docker compose up

Contributing

We welcome contributions! If you'd like to contribute to the project, please follow our Contribution Guidelines.

License

This project is licensed under the MIT License.