The AI-Powered Resume and Job Description Matcher is an AI tool matches job seekers to roles by analyzing resumes and job posts through NLP methods - built using Flask for backend operations. Instead of keywords, it grasps context via Sentence-BERT which turns document text into numerical vectors after processing PDF uploads containing either single or multiple job details. To assess fit, cosine similarity calculates alignment scores between applicant profiles and openings, producing a percent match per role so users see compatibility at a glance. It underlines overlapping abilities along with gaps while pulling out employer names and related data points during analysis. A clear dashboard displays outcomes visually: showing how scores spread across jobs plus overall matching trends overviews. Automation cuts down human review effort significantly; improves precision in shortlisting candidates compared to traditional ways of sorting applications manually.
Kaveri et al. (2026) studied this question.