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NeuroJob AI uses LLM to optimize resumes for applicant tracking systems

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Lakshya Kurup published an open-source AI recruitment tool called NeuroJob AI in January 2026. The platform addresses high applicant rejection rates caused by resume formatting issues and poor keyword alignment with automated systems. It uses Google's Gemini API to analyze resumes against job descriptions across four phases: semantic fit scoring, keyword gap analysis, cover letter generation, and interview preparation. The system combines these features into a single web application built with Next.js, TypeScript, and Python. NeuroJob AI aims to reduce evaluation times to under three seconds through optimized API workflows.

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NeuroJob AI uses LLM to optimize resumes for applicant tracking systems · ShortSingh