Published Paper Details:

The proposed AI-powered ATS assists in recruitment efficiency by automating the process of evaluating and scoring resumes. With Natural Language Processing (NLP) and machine learning, the system analyses applications, awarding scores that reflect how closely each resume matches job descriptions as well as skill relevance and experience. The ATS provides a percentage-based score indicating how closely the candidate matches the job and ranks them for easy hiring using models like Google Gemini Flash 2.0. We use PHP and MySQL for the backend to ensure safe storage of resumes as well as speedy access. A configurable scoring method that enables recruiters to modify attribute weightages according to positional requirements can help shortlist the right candidates for each job. By reducing the tedious effort and facilitating better hiring, this AI-based method streamlines the recruitment process and allows for decisions based on data rather than instinct.