In today's competitive job market, resume screening plays a critical role in recruitment processes. However, traditional Applicant Tracking Systems (ATS) rely heavily on keyword matching and lack transparency, personalization, and intelligent feedback. This paper presents AICRUIT, a dual-mode intelligent resume evaluation platform designed to enhance resume screening using Natural Language Processing (NLP) and Explainable AI (XAI). The system operates in two modes: a Normal Review Mode using TF-IDF-based keyword matching and an AI Review Mode powered by advanced language models. It evaluates resumes across multiple criteria such as structure, skills, experience, and ATS compatibility. Additionally, AICRUIT provides an explainable score breakdown, enabling users to understand and improve their resumes effectively. Experimental results demonstrate high usability, with structured scoring and real-time feedback improving resume quality and user engagement. The platform bridges the gap between automated screening and human-like evaluation, making it a powerful tool for job seekers.
Mounica et al. (2026) studied this question.