NeuroJob AI: LLM-Driven Candidate-Job Fit & Automated ATS Keyword Optimization Architecture

说明与用途

NeuroJob AI 通过 Gemini API 和 Next.js 评估简历与职位的匹配度，识别关键词缺口，生成求职信和面试问题，处理时间缩短至 3 秒以内。

问题

Job applicants face high rejection rates due to non-standardized resume formats and sub-optimal ATS keyword alignment.

结果

The platform integrates multiple recruitment features into a single web application, reducing evaluation time to under 3 seconds and ensuring zero-error JSON schema responses for deterministic UI rendering.

工作流

• Upload resume and job description
• Gemini API parses and scores semantic fit
• Keyword gap analysis identifies missing terms
• Cover letter is generated based on fit and gaps
• Interview questions are generated for preparation

证据

Job applicants frequently face high rejection rates due to non-standardized resume formats and sub-optimal Applicant Tracking System (ATS) keyword alignment.

来源

NeuroJob AI addresses these challenges by implementing an end-to-end recruitment assistant powered by the Gemini API, Next.js, TypeScript, and Python.

来源

The engine evaluates candidate profiles against targeted job descriptions across 4 core phases: Semantic ATS Fit Scoring, Keyword Gap Analysis, Tailored Cover Letter Generation, Predictive Interview Prep.

来源

Reduced full resume-to-JD evaluation time to under 3 seconds using optimized Gemini API streaming logic.

来源