Skip to content
/ SATS Public

SATS (Smart Applicant Tracking System) is an advanced recruitment tool that uses contextual understanding and comprehensive analysis to evaluate candidates based on education, experience, and expertise. It includes features like contextual analysis and a leaderboard system, making recruitment more efficient and accurate.

License

Notifications You must be signed in to change notification settings

Jai0401/SATS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Smart Applicant Tracking System (SATS)

SATS is an advanced applicant tracking system designed to revolutionize the recruitment process. Unlike traditional systems that rely solely on string matching, SATS harnesses the power of contextual understanding. By analyzing job descriptions and candidate resumes comprehensively, SATS evaluates candidates based on factors such as educational background, work experience, and domain expertise, providing a more accurate and nuanced assessment.

Key Features

  • Contextual Analysis: Utilizes advanced algorithms to understand job descriptions and resumes in context.
  • Comprehensive Evaluation: Considers multiple factors including education, experience, and skills for candidate assessment.
  • Leaderboard System: Implements a leaderboard to rank candidates based on match scores, facilitating efficient recruitment by highlighting top matches.

Join us in shaping the future of recruitment with SATS!

Contributing

Contributions are welcome! If you find any issues or have suggestions, please open an issue or submit a pull request.

Team

License

This project is licensed under the MIT License.

About

SATS (Smart Applicant Tracking System) is an advanced recruitment tool that uses contextual understanding and comprehensive analysis to evaluate candidates based on education, experience, and expertise. It includes features like contextual analysis and a leaderboard system, making recruitment more efficient and accurate.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published